Triple

T5453695
Position Surface form Disambiguated ID Type / Status
Subject The Sting E122427 entity
Predicate writer P1360 FINISHED
Object David S. Ward E194540 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: David S. Ward | Statement: [The Sting, writer, David S. Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David S. Ward
Context triple: [The Sting, writer, David S. Ward]
  • A. David S. Ward chosen
    David S. Ward is an American screenwriter and director best known for writing the Oscar-winning film "The Sting" and other popular movies.
  • B. Michael Ward
    Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • C. Michael Z. Hurley
    Michael Z. Hurley is an individual notable enough to be recognized as a namesake of the surname Hurley, though specific widely known public details about his life or work are not clearly established.
  • D. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • E. Michael L. Riordan
    Michael L. Riordan is an American physician and entrepreneur best known as the founding CEO of the biopharmaceutical company Gilead Sciences.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfcb96c56c8190908d5aacd5afc88e completed March 22, 2026, 10:59 a.m.
Created at: March 20, 2026, 2:08 p.m.