Triple
T20294669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mouse That Roared |
E510115
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | John Wilcox |
—
|
NE NERFINISHED |
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: John Wilcox | Statement: [The Mouse That Roared, cinematographyBy, John Wilcox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wilcox Context triple: [The Mouse That Roared, cinematographyBy, John Wilcox]
-
A.
John Wilcox
chosen
John Wilcox was a British cinematographer known for his work on mid-20th-century films, particularly war and adventure movies.
-
B.
Frank Wilcox
Frank Wilcox was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1960s.
-
C.
John Wilkie
John Wilkie was an 18th-century London publisher best known for issuing the first edition of Richard Brinsley Sheridan’s play "The School for Scandal."
-
D.
John Willsteed
John Willsteed is an Australian musician best known as a guitarist and multi-instrumentalist for the indie rock band The Go-Betweens.
-
E.
Wilford Leach
Wilford Leach was an American theater director and educator known for his innovative work in musical and avant-garde theater, including multiple Tony Award–winning productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:13 a.m.