Triple

T15900704
Position Surface form Disambiguated ID Type / Status
Subject Anne Beatts E385579 entity
Predicate spouse P13 FINISHED
Object Michael O’Donoghue 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 O’Donoghue | Statement: [Anne Beatts, spouse, Michael O’Donoghue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael O’Donoghue
Context triple: [Anne Beatts, spouse, Michael O’Donoghue]
  • A. Michael O’Donoghue chosen
    Michael O’Donoghue was an American writer and satirist best known for his dark, surreal humor on Saturday Night Live and in various film and television projects.
  • B. John O'Donoghue
    John O'Donoghue is a former Major League Baseball pitcher who played in the 1960s and early 1970s, notably for teams such as the Kansas City Athletics and Cleveland Indians.
  • C. Jim O’Doherty
    Jim O’Doherty is an American television writer and producer known for creating and working on various youth-oriented comedy series.
  • D. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • E. Michael O’Rourke
    Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
Created at: April 10, 2026, 4:51 a.m.