Triple
T11794738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fables |
E280474
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Bigby Wolf |
E943326
|
NE 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: Bigby Wolf | Statement: [Fables, featuresCharacter, Bigby Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigby Wolf Context triple: [Fables, featuresCharacter, Bigby Wolf]
-
A.
Bigby Wolf
chosen
Bigby Wolf is the reformed Big Bad Wolf serving as the hard-boiled sheriff of Fabletown in the noir-inspired graphic adventure game and comic series "The Wolf Among Us."
-
B.
Worgen
Worgen are feral, wolf-like humanoids from the Warcraft universe, known for their cursed transformation between human and beast forms and their prominent role in Gilneas’s dark, gothic lore.
-
C.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
D.
Rex Wolf
Rex Wolf is a child of television producer Dick Wolf, known for creating the "Law & Order" franchise.
-
E.
Bona Wolf
Bona Wolf is the costumed wolf mascot that represents St. Bonaventure University's athletic teams and school spirit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280fe1b2881908c32b920cdaf04df |
completed | April 29, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:42 p.m.