Triple
T10477875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Wexler |
E247091
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wexler |
E390584
|
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: Wexler | Statement: [Jerry Wexler, familyName, Wexler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wexler Context triple: [Jerry Wexler, familyName, Wexler]
-
A.
Wexler
chosen
Wexler is a surname most prominently associated with acclaimed American cinematographer and filmmaker Haskell Wexler.
-
B.
Wertheimer
Wertheimer is a surname most notably associated with Max Wertheimer, a founding figure of Gestalt psychology.
-
C.
Wolffsohn
Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
-
D.
Ben Wexler
Ben Wexler is a television writer and producer known for his work on comedy series, including developing the show "The Comedians."
-
E.
Nick Wechsler
Nick Wechsler is an American actor best known for his television roles, including playing Jack Porter on the drama series "Revenge."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509596a088190895199648ccf91a4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:21 p.m.