Triple

T8308980
Position Surface form Disambiguated ID Type / Status
Subject David S. Ward E194540 entity
Predicate name P16 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: [David S. Ward, name, David S. Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David S. Ward
Context triple: [David S. Ward, name, 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde772559c819080f411802bbcfef1 completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:54 p.m.