Triple

T10810763
Position Surface form Disambiguated ID Type / Status
Subject Tea for Two E255092 entity
Predicate musicBy P1952 FINISHED
Object Ray Heindorf E653605 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: Ray Heindorf | Statement: [Tea for Two, musicBy, Ray Heindorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Heindorf
Context triple: [Tea for Two, musicBy, Ray Heindorf]
  • A. Ray Heindorf chosen
    Ray Heindorf was an American composer, arranger, and musical director best known for his work on numerous Hollywood film scores during the mid-20th century.
  • B. Carl Broemel
    Carl Broemel is an American guitarist, singer-songwriter, and multi-instrumentalist best known as a longtime member of the rock band My Morning Jacket.
  • C. Johnny Stachela
    Johnny Stachela is an American guitarist best known for his work with The Allman Betts Band, where he contributes to their modern Southern rock sound.
  • D. Greg Hirsch
    Greg Hirsch is a bumbling yet opportunistic young relative of the Roy family in the television series "Succession," known for his awkward social skills and surprising knack for survival in the corporate power struggle.
  • E. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:18 p.m.