Triple
T28522075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer John Hunton |
E721803
|
entity |
| Predicate | associatedWithGenreCreator |
P203402
|
FINISHED |
| Object | Stephen King adaptations |
—
|
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: Stephen King adaptations | Statement: [Officer John Hunton, associatedWithGenreCreator, Stephen King adaptations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGenreCreator Context triple: [Officer John Hunton, associatedWithGenreCreator, Stephen King adaptations]
-
A.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
B.
associatedWithGenreDevelopment
Indicates a relationship where something has contributed to, influenced, or been involved in the development or evolution of a particular genre.
-
C.
associatedActOfCreator
Indicates a relationship where an act is linked to the creator responsible for or connected with that act.
-
D.
associatedWithShowCreators
Indicates a relationship where an entity is linked or connected to the creators of a particular show.
-
E.
associatedWithGenreCycle
Indicates a relationship where something (such as a work, event, or entity) is linked to or belongs to a recurring pattern or series defined by a particular genre.
- F. None of above. chosen
Provenance (4 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a017590e01c8190b985bb50cc6cd605 |
completed | May 11, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_6a0175406b348190a5809b5f3497d46f |
completed | May 11, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a01758ff6d0819087730892b3ea1c75 |
completed | May 11, 2026, 6:22 a.m. |
Created at: April 28, 2026, 3:21 a.m.