Triple

T13541288
Position Surface form Disambiguated ID Type / Status
Subject Sarah Sanderson E323390 entity
Predicate enemyOf P437 FINISHED
Object Thackery Binx E323393 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: Thackery Binx | Statement: [Sarah Sanderson, enemyOf, Thackery Binx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thackery Binx
Context triple: [Sarah Sanderson, enemyOf, Thackery Binx]
  • A. Thackery Binx chosen
    Thackery Binx is a bewitched 17th-century boy cursed to live forever as a talking black cat in the Halloween film "Hocus Pocus."
  • B. Larry Needlemeyer
    Larry Needlemeyer is a recurring character in the animated series "The Amazing World of Gumball," known as the overworked, multi-job-holding employee who appears in nearly every service role around Elmore.
  • C. Archie Goodwin
    Archie Goodwin was an influential American comic book writer, editor, and longtime Marvel and DC contributor renowned for his storytelling and editorial leadership in the industry.
  • D. Archie Goodwin
    Archie Goodwin is the witty, street-smart assistant and narrator who serves as the legman for armchair detective Nero Wolfe in Rex Stout’s mystery stories.
  • E. Arthur Ibbetson
    Arthur Ibbetson was a British cinematographer known for his work on notable films such as "The Bounty," "Anne of the Thousand Days," and "Willy Wonka & the Chocolate Factory."
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.