Triple

T10715296
Position Surface form Disambiguated ID Type / Status
Subject Powerhouse Award E252647 entity
Predicate notableRecipient P108 FINISHED
Object Idina Menzel E33817 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: Idina Menzel | Statement: [Powerhouse Award, notableRecipient, Idina Menzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idina Menzel
Context triple: [Powerhouse Award, notableRecipient, Idina Menzel]
  • A. Idina Menzel chosen
    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
    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 (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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3320448190899c56b02a7f5ffa completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.