Triple
T36879639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Two-Gun Man |
E911439
|
entity |
| Predicate | featureCharacterType |
—
|
GENERATED |
| Object | cowboy hero |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureCharacterType Context triple: [The Two-Gun Man, featureCharacterType, cowboy hero]
-
A.
featuresCharacterWith
chosen
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
B.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
C.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
D.
employsCharacterType
Indicates that an entity makes use of or features a particular type or category of character in its content or structure.
-
E.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
- F. None of above.
Provenance (1 batch)
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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.