Triple
T9069464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hershy Kay |
E217327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hershy Kay |
E217327
|
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: Hershy Kay | Statement: [Hershy Kay, name, Hershy Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hershy Kay Context triple: [Hershy Kay, name, Hershy Kay]
-
A.
Hershy Kay
chosen
Hershy Kay was an American composer and orchestrator best known for his collaborations on Broadway musicals and ballets, including major works with Leonard Bernstein and George Balanchine.
-
B.
Ossie Schectman
Ossie Schectman was an American professional basketball player best known for scoring the first basket in NBA history.
-
C.
Walter Karp
Walter Karp was an American journalist, historian, and political writer known for his incisive critiques of U.S. political institutions and party politics.
-
D.
Lloyd Waner
Lloyd Waner was a speedy, contact-hitting center fielder for the Pittsburgh Pirates and a Baseball Hall of Famer known for his exceptional defense and ability to get on base.
-
E.
Bert Spitz
Bert Spitz is a seasoned, somewhat world-weary divorce lawyer who represents Nicole in the film "Marriage Story," offering pragmatic legal advice with a mix of cynicism and compassion.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.