Triple
T2173121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Streets |
E48467
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Kent L. Wakeford |
E363321
|
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: Kent L. Wakeford | Statement: [Mean Streets, cinematographyBy, Kent L. Wakeford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent L. Wakeford Context triple: [Mean Streets, cinematographyBy, Kent L. Wakeford]
-
A.
Kent L. Wakeford
chosen
Kent L. Wakeford was an American cinematographer known for his work on influential 1970s films, particularly in collaboration with director Martin Scorsese.
-
B.
Richard T. Wetherald
Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
-
C.
Allen M. Davey
Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
-
D.
Robert J. Wynne
Robert J. Wynne was an American journalist and public official who served in senior federal financial and postal administration roles in the early 20th century.
-
E.
James L. Wilmeth
James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbecb97a48190834e3e536184bbd1 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf9ac44d688190ac6307d26a89e238 |
completed | March 22, 2026, 7:31 a.m. |
Created at: March 4, 2026, 7:45 p.m.