Triple
T12792043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koki |
E305789
|
entity |
| Predicate | hasWorkOfFictionType |
P26430
|
FINISHED |
| Object | story |
—
|
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: story | Statement: [Koki, hasWorkOfFictionType, story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkOfFictionType Context triple: [Koki, hasWorkOfFictionType, story]
-
A.
hasAssociatedWorkOfFiction
Indicates that an entity is linked to a related work of fiction, such as a novel, film, or story that is associated with it.
-
B.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
C.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
D.
hasWrittenWorkType
chosen
Indicates that an entity (typically a written work) is associated with a specific type or category of written work (such as novel, article, report, etc.).
-
E.
hasWrittenFiction
Indicates that one entity is the creator or author of fictional written works associated with 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.