Triple

T10973589
Position Surface form Disambiguated ID Type / Status
Subject Michael Myers E259308 entity
Predicate hasSiblings P363 FINISHED
Object Judith Myers E357810 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: Judith Myers | Statement: [Michael Myers, hasSiblings, Judith Myers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judith Myers
Context triple: [Michael Myers, hasSiblings, Judith Myers]
  • A. Judith Myers chosen
    Judith Myers is a character in the Halloween horror franchise, known as Michael Myers' older sister and his first murder victim.
  • B. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • C. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • D. Barbara Rubin
    Barbara Rubin was an experimental filmmaker and performance artist of the 1960s New York underground scene, known for her avant-garde work and collaborations with figures like Andy Warhol and the Velvet Underground.
  • E. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6037fdf80819091fb2c8bf128582d completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:24 p.m.