Triple
T11200258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollars Trilogy |
E265019
|
entity |
| Predicate | leadCharacterType |
P60013
|
FINISHED |
| Object | antihero gunslinger |
—
|
LITERAL 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: antihero gunslinger | Statement: [Dollars Trilogy, leadCharacterType, antihero gunslinger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterType Context triple: [Dollars Trilogy, leadCharacterType, antihero gunslinger]
-
A.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
B.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
C.
leadCharacterActivity
Indicates that an activity is performed by, associated with, or characteristic of the lead character in a narrative or work.
-
D.
leadCharacterColor
Indicates that one entity is the primary character and the other specifies the color associated with that lead character.
-
E.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c1e9f88190b2b42326aba9d778 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:29 p.m.