Triple

T12170757
Position Surface form Disambiguated ID Type / Status
Subject Places in the Heart E289956 entity
Predicate starring P1507 FINISHED
Object Amy Madigan E159006 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: Amy Madigan | Statement: [Places in the Heart, starring, Amy Madigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Madigan
Context triple: [Places in the Heart, starring, Amy Madigan]
  • A. Amy Madigan chosen
    Amy Madigan is an American actress known for her Academy Award–nominated role in "Twice in a Lifetime" and performances in films such as "Field of Dreams" and "Uncle Buck."
  • B. Gail C. Murphy
    Gail C. Murphy is a prominent Canadian computer scientist known for her influential research in software engineering, particularly in improving developer productivity and software evolution.
  • C. Pat Murphy
    Pat Murphy is a name shared by several notable individuals, including an American science fiction and fantasy author and various sports figures.
  • D. Angela Harris
    Angela Harris is a prominent American legal scholar known for her influential work in critical race theory, feminist legal theory, and intersectionality.
  • E. Frances Rafferty
    Frances Rafferty was an American actress and dancer best known for her roles in 1940s MGM musicals and later in the television series "December Bride."
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.