Triple
T17331989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Wish |
E420837
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Arthur Ornitz |
—
|
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: Arthur Ornitz | Statement: [Death Wish, cinematographyBy, Arthur Ornitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Ornitz Context triple: [Death Wish, cinematographyBy, Arthur Ornitz]
-
A.
Arthur Ornitz
chosen
Arthur Ornitz was an American cinematographer known for his work on numerous films from the 1960s through the 1980s.
-
B.
Andrew Shulkind
Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
-
C.
Roger Birnbaum
Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
-
D.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
E.
Frank Sachs
Frank Sachs is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d6870c8190989897aa6beba8ff |
completed | April 19, 2026, 2:11 a.m. |
Created at: April 10, 2026, 5:43 a.m.