Triple

T12170841
Position Surface form Disambiguated ID Type / Status
Subject Slap Shot E289958 entity
Predicate screenwriter P2831 FINISHED
Object Nancy Dowd E385651 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: Nancy Dowd | Statement: [Slap Shot, screenwriter, Nancy Dowd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Dowd
Context triple: [Slap Shot, screenwriter, Nancy Dowd]
  • A. Nancy Dowd chosen
    Nancy Dowd is an American screenwriter best known for her Oscar-winning work on the anti-war film "Coming Home" and for writing the cult hockey movie "Slap Shot."
  • B. Nancy McEldowney
    Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
  • C. Nancy Wolcott
    Nancy Wolcott was the first wife of American actor and dancer Buddy Ebsen, with whom she shared a marriage during his early Hollywood career.
  • D. Nancy Walters
    Nancy Walters was an American model and film and television actress active in the 1950s and early 1960s, known for roles in Hollywood productions including the Elvis Presley musical "Blue Hawaii."
  • E. Nancy Schafer
    Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
  • 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_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:50 p.m.