Triple
T22496157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | View Askewniverse |
E556145
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Emma Bunting
Emma Bunting is a fictional character appearing in Kevin Smith’s interconnected View Askewniverse films.
|
E1550073
|
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: Emma Bunting | Statement: [View Askewniverse, hasCharacter, Emma Bunting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Bunting Context triple: [View Askewniverse, hasCharacter, Emma Bunting]
-
A.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
B.
Sarah Buxton
Sarah Buxton is an American country music singer-songwriter known for both her own recordings and for writing hit songs for other artists.
-
C.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
D.
Emily Boll
Emily Boll is a character from Anne McCaffrey’s science fiction novel "Dragonsdawn," set in the Dragonriders of Pern universe.
-
E.
Anna Rampton
Anna Rampton is a fictional senior BBC executive in the British mockumentary series "W1A," known for her terse manner and corporate jargon.
- 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: Emma Bunting Triple: [View Askewniverse, hasCharacter, Emma Bunting]
Generated description
Emma Bunting is a fictional character appearing in Kevin Smith’s interconnected View Askewniverse films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Bunting Target entity description: Emma Bunting is a fictional character appearing in Kevin Smith’s interconnected View Askewniverse films.
-
A.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
B.
Sarah Buxton
Sarah Buxton is an American country music singer-songwriter known for both her own recordings and for writing hit songs for other artists.
-
C.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
D.
Emily Boll
Emily Boll is a character from Anne McCaffrey’s science fiction novel "Dragonsdawn," set in the Dragonriders of Pern universe.
-
E.
Anna Rampton
Anna Rampton is a fictional senior BBC executive in the British mockumentary series "W1A," known for her terse manner and corporate jargon.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ebc76c081908c39943453fbfb3a |
completed | May 18, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a0b804f5cc88190a156b5b3af46136f |
completed | May 18, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b80f232308190825bf514f3a09149 |
completed | May 18, 2026, 9:13 p.m. |
Created at: April 16, 2026, 8:50 p.m.