Triple
T10286439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where's Charley? |
E241239
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Allyn McLerie |
E857489
|
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: Allyn McLerie | Statement: [Where's Charley?, starred, Allyn McLerie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allyn McLerie Context triple: [Where's Charley?, starred, Allyn McLerie]
-
A.
Allyn McLerie
chosen
Allyn McLerie was a Canadian-born American actress, singer, and dancer known for her work in Broadway musicals, film, and television from the 1940s through the 1980s.
-
B.
Allyn Stewart
Allyn Stewart is a film producer best known for her work on the biographical drama "Sully."
-
C.
Leslie Allen
Leslie Allen is the former wife of Hollywood actor Tony Curtis, known primarily for her marriage to the film star.
-
D.
Merritt Butrick
Merritt Butrick was an American actor best known for his roles in the TV series "Square Pegs" and as David Marcus in the "Star Trek" film franchise.
-
E.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b8343c819087c50e5471c46e3f |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794c79ae88190b80c805f7671e264 |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:40 a.m.