Triple

T19257112
Position Surface form Disambiguated ID Type / Status
Subject Truth E481544 entity
Predicate producer P490 FINISHED
Object Mickey Most 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: Mickey Most | Statement: [Truth, producer, Mickey Most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mickey Most
Context triple: [Truth, producer, Mickey Most]
  • A. Don Most
    Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
  • B. Mickey Sutphin
    Mickey Sutphin is known as one of the former wives of famed American television and radio host Larry King.
  • C. Mickey Baker
    Mickey Baker was an influential American guitarist and songwriter best known as half of the R&B duo Mickey & Sylvia and for his foundational work in rock and roll and jazz guitar.
  • D. Mickie Most chosen
    Mickie Most was a prominent British record producer known for crafting numerous hit singles in the 1960s and 1970s for artists such as The Animals, Herman’s Hermits, and Donovan.
  • E. Walter Murphy
    Walter Murphy is an American composer, arranger, and pianist best known for his disco-era hit "A Fifth of Beethoven" and for scoring numerous film and television projects, including collaborations with Seth MacFarlane.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.