Triple
T14625938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Gershe |
E343344
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Roger Edens |
E174656
|
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: Roger Edens | Statement: [Leonard Gershe, partner, Roger Edens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Edens Context triple: [Leonard Gershe, partner, Roger Edens]
-
A.
Roger Edens
chosen
Roger Edens was an American composer, arranger, and producer best known for his influential work on classic MGM musicals in Hollywood’s Golden Age.
-
B.
Frank Nighbor
Frank Nighbor was a pioneering early 20th-century Canadian ice hockey star renowned for his exceptional two-way play and sportsmanship in the National Hockey League.
-
C.
Gordon Benson
Gordon Benson is a founding partner of the law firm Benson & Forsyth.
-
D.
Ed Eagan
Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
-
E.
Gordon Thiessen
Gordon Thiessen is a Canadian economist who served as Governor of the Bank of Canada in the 1990s and early 2000s.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92a6b9c8190bdb220444cfbe34a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.