Triple

T3497787
Position Surface form Disambiguated ID Type / Status
Subject Downey E73892 entity
Predicate hasNotableBearer P458 FINISHED
Object Morton Downey Jr. E362692 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: Morton Downey Jr. | Statement: [Downey, hasNotableBearer, Morton Downey Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Downey Jr.
Context triple: [Downey, hasNotableBearer, Morton Downey Jr.]
  • A. Morton Downey chosen
    Morton Downey was an American singer and entertainer active in the early 20th century, known for his popular recordings and radio performances.
  • B. Robert Klein
    Robert Klein is an American stand-up comedian and actor known for his influential role in modern observational comedy and numerous appearances on television and Broadway.
  • C. Bill Murphy
    Bill Murphy is a film editor known for his work on the Australian drama film "Romper Stomper."
  • D. Max Borenstein
    Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
  • E. Robert Greenhut
    Robert Greenhut is an American film producer best known for his long-running collaboration with director Woody Allen on numerous critically acclaimed movies.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bbf19808190b42c9feddc2a1030 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:18 p.m.