Triple
T26701137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Hackman as Little Bill Daggett |
E673157
|
entity |
| Predicate | primaryRivalPortrayedBy |
P173823
|
FINISHED |
| Object | Clint Eastwood |
—
|
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: Clint Eastwood | Statement: [Gene Hackman as Little Bill Daggett, primaryRivalPortrayedBy, Clint Eastwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRivalPortrayedBy Context triple: [Gene Hackman as Little Bill Daggett, primaryRivalPortrayedBy, Clint Eastwood]
-
A.
rivalPortrayedBy
chosen
Indicates that one entity is portrayed or depicted as the rival of another entity by a specific actor or creator.
-
B.
portraysRivalry
Indicates that one entity depicts or represents a relationship of competition or antagonism between two or more entities.
-
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.
hadPrimaryRivalry
Indicates that one entity was the main or most significant rival of another entity.
- 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_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 27, 2026, 3:31 a.m.