Triple

T23049513
Position Surface form Disambiguated ID Type / Status
Subject Louise Belcher E573968 entity
Predicate frequentLocation P1097 FINISHED
Object Wagstaff School 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: Wagstaff School | Statement: [Louise Belcher, frequentLocation, Wagstaff School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagstaff School
Context triple: [Louise Belcher, frequentLocation, Wagstaff School]
  • A. Wagstaff School chosen
    Wagstaff School is the fictional middle school attended by several main characters in the animated TV series "Bob's Burgers."
  • B. Wheatley School
    Wheatley School is a public high school serving the East Williston, New York community, known for its strong academics and college preparatory programs.
  • C. Wrenn School
    Wrenn School is a secondary school and sixth form serving students in the town of Wellingborough, Northamptonshire, England.
  • D. Woodstock School
    Woodstock School is a historic international boarding school in the Himalayan foothill town of Mussoorie, India, known for its diverse student body and rigorous academic program.
  • E. West School
    West School is a public elementary school serving students in the New Canaan, Connecticut community.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.