Triple
T12240199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Spitz |
E291708
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object |
Nicole Barber
Nicole Barber is a client represented by legal professional Bert Spitz, likely involved in a legal or advocacy matter.
|
E970972
|
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 Barber | Statement: [Bert Spitz, represents, Nicole Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Barber Context triple: [Bert Spitz, represents, Nicole Barber]
-
A.
Nicole Barber
Nicole Barber is a central character in the film "Marriage Story," portrayed as an actress navigating a painful divorce and personal rediscovery.
-
B.
Nicole Shanahan
Nicole Shanahan is an American attorney, legal tech entrepreneur, and philanthropist known for founding the patent management company ClearAccessIP and for her high-profile marriage to Google co-founder Sergey Brin.
-
C.
Nicole Lambert
Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
-
D.
Nicole Bristol
Nicole Bristol is a French local politician who serves as the mayor of the commune of Montesson.
-
E.
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.
- 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 Barber Triple: [Bert Spitz, represents, Nicole Barber]
Generated description
Nicole Barber is a client represented by legal professional Bert Spitz, likely involved in a legal or advocacy matter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicole Barber Target entity description: Nicole Barber is a client represented by legal professional Bert Spitz, likely involved in a legal or advocacy matter.
-
A.
Nicole Barber
Nicole Barber is a central character in the film "Marriage Story," portrayed as an actress navigating a painful divorce and personal rediscovery.
-
B.
Nicole Shanahan
Nicole Shanahan is an American attorney, legal tech entrepreneur, and philanthropist known for founding the patent management company ClearAccessIP and for her high-profile marriage to Google co-founder Sergey Brin.
-
C.
Nicole Lambert
Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
-
D.
Nicole Bristol
Nicole Bristol is a French local politician who serves as the mayor of the commune of Montesson.
-
E.
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.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb59ce4819099999b8755fb8b98 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab3ae2481908f65d8ac61a6b2e4 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bdd8d508190813178ff4c77afcf |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c67c680819087630d190d0a008f |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:51 p.m.