Triple
T37804997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabletown |
E942476
|
entity |
| Predicate | sheriff |
P22466
|
FINISHED |
| Object | Bigby Wolf |
—
|
NE NERFINISHED |
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: Bigby Wolf | Statement: [Fabletown, sheriff, Bigby Wolf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sheriff Context triple: [Fabletown, sheriff, Bigby Wolf]
-
A.
hasCountySheriff
chosen
Indicates that a jurisdiction or area is served or overseen by a specific county sheriff.
-
B.
chiefLawOfficer
Indicates that one entity serves as the highest-ranking legal authority or primary legal officer for another entity.
-
C.
ceremonialHighSheriff
Indicates a formal role or relationship in which an individual holds or is associated with the honorary office of ceremonial High Sheriff.
-
D.
deputiesTitle
Indicates that an entity holds the official title or designation of a deputy (or deputies) in relation to another entity.
-
E.
actorForCharacterSheriffGilCorrigan
Indicates that an entity is the actor who portrays the character Sheriff Gil Corrigan.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.