Triple

T22071231
Position Surface form Disambiguated ID Type / Status
Subject Honey in the Horn E545409 entity
Predicate featuresArranger P123636 FINISHED
Object Bill Justis 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: Bill Justis | Statement: [Honey in the Horn, featuresArranger, Bill Justis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Justis
Context triple: [Honey in the Horn, featuresArranger, Bill Justis]
  • A. Bill Justis chosen
    Bill Justis was an American musician, arranger, and composer best known for his influential work in early rock and roll and pop music, including the hit instrumental "Raunchy."
  • B. Bill Engvall
    Bill Engvall is an American stand-up comedian and actor best known as a member of the Blue Collar Comedy Tour and for his signature "Here's Your Sign" routine.
  • C. William Maher
    William Maher is an American comedian, political commentator, and television host best known for his satirical talk show "Real Time with Bill Maher."
  • D. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • E. Ross Mathews
    Ross Mathews is an American television personality and comedian known for his bubbly commentary style and appearances on shows like The Tonight Show with Jay Leno, Celebrity Big Brother, and various reality and talk programs.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128881af481909b28cda2d343f4e3 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.