Triple
T20403155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Force |
E500388
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Robert Paynter |
—
|
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: Robert Paynter | Statement: [Killer Force, cinematographyBy, Robert Paynter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Paynter Context triple: [Killer Force, cinematographyBy, Robert Paynter]
-
A.
Robert Paynter
chosen
Robert Paynter was a British cinematographer known for his work on major films of the 1970s and 1980s, particularly in collaboration with directors like Richard Lester and John Landis.
-
B.
Richard Pryce
Richard Pryce was a British novelist and playwright of the late 19th and early 20th centuries, known for his socially observant fiction and contributions to Victorian and Edwardian literature.
-
C.
Philip Pugh
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
D.
Martin Lancaster
Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
-
E.
Robert Payne
Robert Payne was a British-born writer and biographer known for his numerous works on historical figures and world history.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.