Triple
T9578694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treme |
E231112
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Toni Bernette
Toni Bernette is a passionate civil rights lawyer and grieving mother in post-Katrina New Orleans on the television drama series "Treme."
|
E809299
|
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: Toni Bernette | Statement: [Treme, hasMainCharacter, Toni Bernette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Bernette Context triple: [Treme, hasMainCharacter, Toni Bernette]
-
A.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
B.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
C.
Marli Bennett
Marli Bennett is the daughter of American rapper and musician Chance the Rapper (Chancelor Bennett).
-
D.
Judy Bernly
Judy Bernly is a timid, recently separated office worker who becomes an unlikely feminist heroine as she joins her coworkers in overthrowing their sexist boss in the comedy film "9 to 5."
-
E.
Patti D'Arbanville
Patti D'Arbanville is an American actress and former model known for her work in film and television since the 1970s, including notable roles in both independent and mainstream productions.
- 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: Toni Bernette Triple: [Treme, hasMainCharacter, Toni Bernette]
Generated description
Toni Bernette is a passionate civil rights lawyer and grieving mother in post-Katrina New Orleans on the television drama series "Treme."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Bernette Target entity description: Toni Bernette is a passionate civil rights lawyer and grieving mother in post-Katrina New Orleans on the television drama series "Treme."
-
A.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
B.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
C.
Marli Bennett
Marli Bennett is the daughter of American rapper and musician Chance the Rapper (Chancelor Bennett).
-
D.
Judy Bernly
Judy Bernly is a timid, recently separated office worker who becomes an unlikely feminist heroine as she joins her coworkers in overthrowing their sexist boss in the comedy film "9 to 5."
-
E.
Patti D'Arbanville
Patti D'Arbanville is an American actress and former model known for her work in film and television since the 1970s, including notable roles in both independent and mainstream productions.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.