Triple
T17435869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scar |
E423999
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Martin Pawley |
—
|
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: Martin Pawley | Statement: [Scar, conflictWith, Martin Pawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Pawley Context triple: [Scar, conflictWith, Martin Pawley]
-
A.
Martin Pawley
chosen
Martin Pawley is the part-Cherokee adopted nephew of Ethan Edwards who serves as the moral center and driving force of the search in John Ford’s classic Western film "The Searchers."
-
B.
Brett Pawlak
Brett Pawlak is a film cinematographer known for his visually compelling work on feature films such as "Just Mercy."
-
C.
Mike Pugh
Mike Pugh is a person whose name is commonly used as an alternative or shortened form of Michael Pugh, leading to ambiguity between the two.
-
D.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
E.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490426008190b474ed76aca5d6f3 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.