Triple
T35000384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Carsons |
E1009656
|
entity |
| Predicate | isFictionalOutlaw |
P116013
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kim Carsons, isFictionalOutlaw, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFictionalOutlaw Context triple: [Kim Carsons, isFictionalOutlaw, true]
-
A.
isFictionalCharacter
chosen
Indicates that the subject is a character that exists only in fiction rather than in real life.
-
B.
isFictionalPersonFrom
Indicates that a fictional person originates from or is associated with a particular place or source.
-
C.
isFictionalBearer
Indicates that an entity serves as the (typically named) holder or possessor of something within a fictional or imaginary context.
-
D.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
E.
isFictionalSong
Indicates that the referenced song exists only in fiction (e.g., within a story, film, game, or other fictional context) and not as a real-world musical work.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.