Triple
T2007816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Face |
E43624
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ray June |
E135300
|
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: Ray June | Statement: [Funny Face, cinematographyBy, Ray June]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray June Context triple: [Funny Face, cinematographyBy, Ray June]
-
A.
Ray June
chosen
Ray June was an American cinematographer known for his work on numerous classic Hollywood films, particularly musicals and comedies of the 1930s and 1940s.
-
B.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
C.
Ray Wood
Ray Wood was an English footballer for Manchester United who survived the 1958 Munich air disaster.
-
D.
Rod Wood
Rod Wood is an American sports executive best known for serving as the president of the NFL’s Detroit Lions.
-
E.
Fred Williamson
Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre movies.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89aca908190b8b659af65afdf6f |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe068ac8190b0999e4f881d134a |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.