Triple

T19338795
Position Surface form Disambiguated ID Type / Status
Subject A Guide for the Married Man E483694 entity
Predicate producer P490 FINISHED
Object Frank McCarthy 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: Frank McCarthy | Statement: [A Guide for the Married Man, producer, Frank McCarthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank McCarthy
Context triple: [A Guide for the Married Man, producer, Frank McCarthy]
  • A. Frank McCarthy chosen
    Frank McCarthy was an American film producer and former U.S. Army officer best known for producing the acclaimed World War II biographical film "Patton."
  • B. Perry McCarthy
    Perry McCarthy is a British racing driver and author best known for being the original, anonymous "Black Stig" on the BBC motoring show Top Gear.
  • C. John MacDermott
    John MacDermott is a notable individual recognized for bearing the surname MacDermott.
  • D. John McArdle
    John McArdle is a British actor known for his work in television dramas and soap operas.
  • E. Ed McLaughlin
    Ed McLaughlin is an American college athletics administrator best known as the athletic director at Virginia Commonwealth University (VCU).
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185538d48190ae4fa3ac0b0ca182 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:33 p.m.