Triple

T17903018
Position Surface form Disambiguated ID Type / Status
Subject Bill Compton E447629 entity
Predicate setting P1957 FINISHED
Object fictional town of Bon Temps 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: fictional town of Bon Temps | Statement: [Bill Compton, setting, fictional town of Bon Temps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fictional town of Bon Temps
Context triple: [Bill Compton, setting, fictional town of Bon Temps]
  • A. Bon Temps chosen
    Bon Temps is a fictional small town in Louisiana that serves as the primary setting for the supernatural drama series "True Blood."
  • B. Downsville, Louisiana
    Downsville, Louisiana is a small rural village located in Union Parish in northern Louisiana, known for its quiet, close-knit community.
  • C. Charenton, Louisiana
    Charenton, Louisiana is a small community in St. Mary Parish that serves as the primary home and cultural center of the Chitimacha Tribe.
  • D. Farmerville, Louisiana
    Farmerville, Louisiana is a small town in Union Parish that serves as the parish seat and lies within the Monroe metropolitan area in northern Louisiana.
  • E. Monroeville
    Monroeville is a suburban municipality in western Pennsylvania known for its shopping centers, residential communities, and proximity to Pittsburgh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e99c3188190aead24cd3d48c7a7 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.