Triple
T11345332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Many Saints of Newark |
E268697
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nicole Lambert
Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
|
E925417
|
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: Nicole Lambert | Statement: [The Many Saints of Newark, producer, Nicole Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Lambert Context triple: [The Many Saints of Newark, producer, Nicole Lambert]
-
A.
Nicole Lyn
Nicole Lyn is a Canadian actress best known for her work in television series such as "Student Bodies" and various film and voice roles.
-
B.
Nicole Palmer
Nicole Palmer is a fictional character from the television series "24," known as the daughter of U.S. Senator and later President David Palmer.
-
C.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
D.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
E.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
- 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: Nicole Lambert Triple: [The Many Saints of Newark, producer, Nicole Lambert]
Generated description
Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicole Lambert Target entity description: Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
-
A.
Nicole Lyn
Nicole Lyn is a Canadian actress best known for her work in television series such as "Student Bodies" and various film and voice roles.
-
B.
Nicole Palmer
Nicole Palmer is a fictional character from the television series "24," known as the daughter of U.S. Senator and later President David Palmer.
-
C.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
D.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
E.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d320c39c8190a3d28aa065ededea |
completed | April 20, 2026, 7:17 a.m. |
| NEDg | Description generation | batch_69e5d73b6d5881908a289f935c9727a4 |
completed | April 20, 2026, 7:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d924963c8190bfc55ffeb529a499 |
completed | April 20, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:33 p.m.