Triple
T15441435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Wright |
E369909
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Black Mirror: Nosedive
Black Mirror: Nosedive is a dystopian television episode that satirically explores a near-future society obsessed with social media ratings and the consequences of living for online approval.
|
E1158149
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Black Mirror: Nosedive | Statement: [Joe Wright, directed, Black Mirror: Nosedive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Mirror: Nosedive Context triple: [Joe Wright, directed, Black Mirror: Nosedive]
-
A.
Black Mirror: Be Right Back
"Black Mirror: Be Right Back" is a critically acclaimed episode of the dystopian anthology series Black Mirror that explores grief, identity, and artificial intelligence through a woman's use of technology to recreate her deceased partner.
-
B.
Black Mirror: San Junipero
Black Mirror: San Junipero is a critically acclaimed episode of the anthology series Black Mirror that explores love, memory, and the afterlife through a nostalgic, 1980s-inspired virtual reality setting.
-
C.
Black Mirror: Arkangel
Black Mirror: Arkangel is a dystopian anthology episode that explores parental overprotection and surveillance technology through a chilling near-future scenario.
-
D.
Black Mirror: USS Callister
Black Mirror: USS Callister is a critically acclaimed episode of the anthology series Black Mirror that satirizes classic space opera tropes while exploring themes of power, escapism, and digital consciousness.
-
E.
Black Mirror: Hated in the Nation
Black Mirror: Hated in the Nation is a feature-length episode of the dystopian anthology series Black Mirror that follows a detective investigating mysterious deaths linked to social media outrage and autonomous drone insects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Black Mirror: Nosedive Triple: [Joe Wright, directed, Black Mirror: Nosedive]
Generated description
Black Mirror: Nosedive is a dystopian television episode that satirically explores a near-future society obsessed with social media ratings and the consequences of living for online approval.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Mirror: Nosedive Target entity description: Black Mirror: Nosedive is a dystopian television episode that satirically explores a near-future society obsessed with social media ratings and the consequences of living for online approval.
-
A.
Black Mirror: Be Right Back
"Black Mirror: Be Right Back" is a critically acclaimed episode of the dystopian anthology series Black Mirror that explores grief, identity, and artificial intelligence through a woman's use of technology to recreate her deceased partner.
-
B.
Black Mirror: San Junipero
Black Mirror: San Junipero is a critically acclaimed episode of the anthology series Black Mirror that explores love, memory, and the afterlife through a nostalgic, 1980s-inspired virtual reality setting.
-
C.
Black Mirror: Arkangel
Black Mirror: Arkangel is a dystopian anthology episode that explores parental overprotection and surveillance technology through a chilling near-future scenario.
-
D.
Black Mirror: USS Callister
Black Mirror: USS Callister is a critically acclaimed episode of the anthology series Black Mirror that satirizes classic space opera tropes while exploring themes of power, escapism, and digital consciousness.
-
E.
Black Mirror: Hated in the Nation
Black Mirror: Hated in the Nation is a feature-length episode of the dystopian anthology series Black Mirror that follows a detective investigating mysterious deaths linked to social media outrage and autonomous drone insects.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22e2f298819085c90e28acafef44 |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.