Triple

T22998313
Position Surface form Disambiguated ID Type / Status
Subject Men of Boys Town E572565 entity
Predicate starring P1507 FINISHED
Object Henry O'Neill 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: Henry O'Neill | Statement: [Men of Boys Town, starring, Henry O'Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry O'Neill
Context triple: [Men of Boys Town, starring, Henry O'Neill]
  • A. Henry O'Neill chosen
    Henry O'Neill was an American character actor known for his numerous supporting roles in Hollywood films of the 1930s and 1940s.
  • B. William O’Brien
    William O’Brien is a member of the O’Brien family of Machias, Maine, a family associated with that coastal New England community.
  • C. William O’Leary
    William O’Leary is an American actor best known for his role as Marty Taylor on the television sitcom "Home Improvement."
  • D. Hugh O'Leary
    Hugh O'Leary is a British accountant best known as the husband of former UK Prime Minister Liz Truss.
  • E. Thomas O’Brien
    Thomas O’Brien was a New Zealand theatre entrepreneur and cinema pioneer best known for his role in developing major entertainment venues in Auckland in the early 20th century.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f54ce88190930530958e2a1830 completed April 29, 2026, 4:03 a.m.
Created at: April 17, 2026, 3:50 p.m.