Triple

T3422421
Position Surface form Disambiguated ID Type / Status
Subject Boom Town E72143 entity
Predicate screenwriter P2831 FINISHED
Object John Lee Mahin E137623 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: John Lee Mahin | Statement: [Boom Town, screenwriter, John Lee Mahin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lee Mahin
Context triple: [Boom Town, screenwriter, John Lee Mahin]
  • A. John Lee Mahin chosen
    John Lee Mahin was an American screenwriter known for his work on numerous classic Hollywood films from the 1930s through the 1950s.
  • B. John Griffith Lee
    John Griffith Lee was the husband of acclaimed American actress Agnes Moorehead, known for her work in film, radio, and television.
  • C. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • D. Don Lee
    Don Lee was a prominent early 20th-century American broadcasting pioneer and automobile dealer whose influence in Los Angeles led to Mount Lee being named in his honor.
  • E. Don L. Lee
    Don L. Lee, better known as Haki R. Madhubuti, is an influential African American poet, essayist, and educator associated with the Black Arts Movement.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35472881c8190baf90b91daa924ec completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.