Triple

T15330082
Position Surface form Disambiguated ID Type / Status
Subject Down Periscope E366509 entity
Predicate director P255 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: [Down Periscope, director, David S. Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David S. Ward
Context triple: [Down Periscope, director, 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 Ward
    Michael Ward was a British mountaineer and expedition doctor best known for his key role in the successful 1953 Mount Everest expedition.
  • D. 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.
  • E. 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.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.