Triple

T15266052
Position Surface form Disambiguated ID Type / Status
Subject Michael W. Young E364903 entity
Predicate name P16 FINISHED
Object Michael W. Young 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: Michael W. Young | Statement: [Michael W. Young, name, Michael W. Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael W. Young
Context triple: [Michael W. Young, name, Michael W. Young]
  • A. Michael W. Young chosen
    Michael W. Young is an American geneticist and chronobiologist renowned for his pioneering work on the molecular mechanisms of circadian rhythms.
  • B. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • C. Michael J. Pierson
    Michael J. Pierson is an individual notable enough to be specifically cited as a namesake or distinguished bearer of the surname Pierson.
  • D. Sean S. Cunningham
    Sean S. Cunningham is an American film director and producer best known for creating and directing the influential horror classic "Friday the 13th."
  • E. Michael J. Weithorn
    Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
Created at: April 10, 2026, 3:14 a.m.