Triple

T20711292
Position Surface form Disambiguated ID Type / Status
Subject Allen Heim E509048 entity
Predicate notableWork P4 FINISHED
Object Hair 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: Hair | Statement: [Allen Heim, notableWork, Hair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hair
Context triple: [Allen Heim, notableWork, Hair]
  • A. Hair chosen
    Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
  • B. Hair Peace
    Hair Peace was a key slogan used by John Lennon and Yoko Ono during their famous Bed-Ins for Peace, symbolizing their nonviolent protest against war and promotion of global peace.
  • C. Hair Down
    "Hair Down" is a song by American R&B artist Sir (Sir Darryl Farris), known for its smooth, soulful production and introspective lyrics.
  • D. Hair Down
    "Hair Down" is a pop single by British singer and former The Saturdays member Mollie King, showcasing her solo music career.
  • E. How To (Hair)
    "How To (Hair)" is a track from Esperanza Spalding’s experimental jazz album *12 Little Spells*, which blends innovative composition with conceptual, body-themed song titles.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1cdcaac8190b9ba82d489fb3bfc completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.