Triple

T12109812
Position Surface form Disambiguated ID Type / Status
Subject The Matchmaker E288392 entity
Predicate hasCharacter P2308 FINISHED
Object Irene Molloy E1026362 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: Irene Molloy | Statement: [The Matchmaker, hasCharacter, Irene Molloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Molloy
Context triple: [The Matchmaker, hasCharacter, Irene Molloy]
  • A. Irene Molloy chosen
    Irene Molloy is a charming New York milliner who becomes a romantic interest of Cornelius Hackl in the classic musical "The Matchmaker" (and its adaptation "Hello, Dolly!").
  • B. Irene O’Connor
    Irene O’Connor was the first wife of American illustrator Norman Rockwell, whom he married in the early 20th century.
  • C. Donna Molloy
    Donna Molloy is a film and television producer known for her work on the project "Care."
  • D. Mary Mulhern
    Mary Mulhern was an American actress best known for her brief Hollywood career in the silent film era and her marriage to actor Jack Pickford.
  • E. Elizabeth Meehan
    Elizabeth Meehan was an early 20th-century screenwriter known for adapting literary works for silent and early sound films in Hollywood.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef515488190957a69e1cc901d65 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:49 p.m.