Triple
T10139596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie S. Gorelick |
E226946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gorelick |
E226946
|
NE FINISHED |
How this triple was built (2 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: Gorelick | Statement: [Jamie S. Gorelick, familyName, Gorelick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorelick Context triple: [Jamie S. Gorelick, familyName, Gorelick]
-
A.
Gorelick
chosen
Gorelick is a surname most prominently associated with Jamie S. Gorelick, an American lawyer and former U.S. Deputy Attorney General.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Legler
Legler is a surname most notably associated with Tim Legler, a former NBA player and current basketball analyst.
-
D.
Gordon-Lazareff
Gordon-Lazareff is the surname of Hélène Gordon-Lazareff, a notable French journalist and founder of the women’s magazine Elle.
-
E.
Pincus
Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde8851844819092330e74561b7e34 |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5f8cf7481908d0caca5a245cb64 |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.