Triple
T10212361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Night of Love |
E242359
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Joseph Walker |
E319628
|
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: Joseph Walker | Statement: [One Night of Love, cinematographyBy, Joseph Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Walker Context triple: [One Night of Love, cinematographyBy, Joseph Walker]
-
A.
Joseph Walker
chosen
Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
-
B.
Patrick Walker
Patrick Walker is a voice actor known for his role in the animated film "Cars 2."
-
C.
Edward Walker
Edward Walker is the protective and secretive leader of the isolated 19th-century-style community in M. Night Shyamalan’s film "The Village."
-
D.
Bob Walker
Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
-
E.
Roy Walker
Roy Walker is the injured Hollywood stuntman whose fantastical storytelling to a young girl drives the narrative of the 2006 film "The Fall."
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652e25be88190a6f1763e9e86666a |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:02 a.m.