Triple
T5741293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | License to Wed |
E126619
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | John Bailey |
E377587
|
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: John Bailey | Statement: [License to Wed, cinematographyBy, John Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bailey Context triple: [License to Wed, cinematographyBy, John Bailey]
-
A.
John Bailey
chosen
John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
-
B.
Harry Robbins
Harry Robbins "H. R." Haldeman was an American political aide who served as White House Chief of Staff to President Richard Nixon and became a central figure in the Watergate scandal.
-
C.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
Howard Bannister
Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.