Triple
T10937129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Finch |
E258361
|
entity |
| Predicate | conflictsWith |
P4897
|
FINISHED |
| Object | Will Dormer |
E258360
|
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: Will Dormer | Statement: [Walter Finch, conflictsWith, Will Dormer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Dormer Context triple: [Walter Finch, conflictsWith, Will Dormer]
-
A.
Will Dormer
chosen
Will Dormer is a seasoned but morally conflicted Los Angeles detective whose insomnia and guilt intensify as he investigates a murder in a small Alaskan town in the film "Insomnia."
-
B.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
C.
Christopher Morrow
Christopher Morrow is a relatively obscure individual whose specific public achievements or profession are not widely documented.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d710f65c8190a4ef17a6d90a19d2 |
completed | April 18, 2026, 12:57 a.m. |
Created at: April 8, 2026, 9:23 p.m.