Triple
T26701136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Hackman as Little Bill Daggett |
E673157
|
entity |
| Predicate | primaryRivalCharacter |
P103334
|
FINISHED |
| Object | William Munny |
—
|
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: William Munny | Statement: [Gene Hackman as Little Bill Daggett, primaryRivalCharacter, William Munny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRivalCharacter Context triple: [Gene Hackman as Little Bill Daggett, primaryRivalCharacter, William Munny]
-
A.
rivalOwnedByCharacter
Indicates that a rival entity is owned, controlled, or possessed by a specific character.
-
B.
fictionalRivalOf
chosen
Indicates a rivalry relationship that exists between two entities only within a fictional or narrative context.
-
C.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
D.
rivalryCharacterizedBy
Indicates a relationship where a rivalry is defined or distinguished by a particular feature, quality, or circumstance.
-
E.
rivalryCharacterization
Indicates a relationship in which two entities are characterized as rivals, typically defined by ongoing competition, opposition, or conflict between them.
- F. None of above.
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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: April 27, 2026, 3:31 a.m.