Triple
T16781161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Root |
E407859
|
entity |
| Predicate | firstAppearanceEpisode |
P16444
|
FINISHED |
| Object |
"Root Cause"
"Root Cause" is an episode of the TV series *Person of Interest* that introduces the recurring hacker character known as Root.
|
E1234115
|
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: "Root Cause" | Statement: [Root, firstAppearanceEpisode, "Root Cause"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Root Cause" Context triple: [Root, firstAppearanceEpisode, "Root Cause"]
-
A.
“Incident”
“Incident” is a brief, powerful poem by Countee Cullen that recounts a childhood encounter with racism in Baltimore to highlight the lasting impact of prejudice.
-
B.
"Carma"
"Carma" is a notable work by the Italian rapper Cane, recognized within his discography for its distinctive style and lyrical content.
-
C.
"Extinction"
"Extinction" is a 1981 book by biologist Paul R. Ehrlich that examines the causes, consequences, and accelerating rates of species extinction driven largely by human activity.
-
D.
“Cadences”
“Cadences” is a collection of free-verse poetry by F. S. Flint that reflects early 20th-century modernist and imagist influences.
-
E.
"Sub Rosa"
"Sub Rosa" is an episode of the television series NCIS notable for introducing the character Timothy McGee.
- 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: "Root Cause" Triple: [Root, firstAppearanceEpisode, "Root Cause"]
Generated description
"Root Cause" is an episode of the TV series *Person of Interest* that introduces the recurring hacker character known as Root.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Root Cause" Target entity description: "Root Cause" is an episode of the TV series *Person of Interest* that introduces the recurring hacker character known as Root.
-
A.
“Incident”
“Incident” is a brief, powerful poem by Countee Cullen that recounts a childhood encounter with racism in Baltimore to highlight the lasting impact of prejudice.
-
B.
"Carma"
"Carma" is a notable work by the Italian rapper Cane, recognized within his discography for its distinctive style and lyrical content.
-
C.
"Extinction"
"Extinction" is a 1981 book by biologist Paul R. Ehrlich that examines the causes, consequences, and accelerating rates of species extinction driven largely by human activity.
-
D.
“Cadences”
“Cadences” is a collection of free-verse poetry by F. S. Flint that reflects early 20th-century modernist and imagist influences.
-
E.
"Sub Rosa"
"Sub Rosa" is an episode of the television series NCIS notable for introducing the character Timothy McGee.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b216726881908ddc9cdc772cd5e4 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0300e48190ad088cd11098ca34 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00aba5fb388190ab98a0c8ee50340b |
completed | May 10, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:22 a.m.