Triple

T11794703
Position Surface form Disambiguated ID Type / Status
Subject Fables E280474 entity
Predicate setting P1957 FINISHED
Object Fabletown E942476 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: Fabletown | Statement: [Fables, setting, Fabletown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabletown
Context triple: [Fables, setting, Fabletown]
  • A. Fabletown chosen
    Fabletown is a secret New York City community where exiled fairy-tale characters live hidden among humans in the dark, noir-inspired world of The Wolf Among Us.
  • B. Wards of Faerie
    Wards of Faerie is a fantasy novel by Terry Brooks set in his Shannara universe, launching The Dark Legacy of Shannara trilogy with a quest centered on lost Elfstones and ancient magic.
  • C. Faerie Land
    Faerie Land is the richly allegorical, fantastical realm that serves as the primary setting of Edmund Spenser’s epic poem *The Faerie Queene*.
  • D. Fabela
    Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
  • E. Grimm’s Enchanted Forest
    Grimm’s Enchanted Forest is a fairy-tale themed area in Europa-Park that immerses visitors in scenes and characters from the classic Brothers Grimm stories.
  • 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_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:42 p.m.