Triple

T23174401
Position Surface form Disambiguated ID Type / Status
Subject Syosset High School E578954 entity
Predicate hasAlumnus P51 FINISHED
Object Idina Menzel 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: Idina Menzel | Statement: [Syosset High School, hasAlumnus, Idina Menzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idina Menzel
Context triple: [Syosset High School, hasAlumnus, Idina Menzel]
  • A. Idina Menzel
    Idina Menzel is an American actress and singer best known for her powerful Broadway performances in shows like "Wicked" and for voicing Elsa in Disney's "Frozen."
  • B. Idina Kim Mentzel chosen
    Idina Kim Mentzel, known professionally as Idina Menzel, is an American actress and singer celebrated for her powerful Broadway performances and for voicing Elsa in Disney’s Frozen.
  • C. Marta Robbins
    Marta Robbins is a fictional Starfleet lieutenant featured in the Star Trek universe.
  • D. Jane Monheit
    Jane Monheit is an American jazz and pop vocalist known for her rich, expressive voice and interpretations of standards and contemporary songs.
  • E. Jennifer Holden
    Jennifer Holden is an American actress best known for her role opposite Elvis Presley in the 1957 musical drama film "Jailhouse Rock."
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f69cb1881909e0f47d3b32e2cb1 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.