Triple

T20728772
Position Surface form Disambiguated ID Type / Status
Subject Donald Oenslager E509510 entity
Predicate name P16 FINISHED
Object Donald Oenslager NE NERFINISHED

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: Donald Oenslager | Statement: [Donald Oenslager, name, Donald Oenslager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Oenslager
Context triple: [Donald Oenslager, name, Donald Oenslager]
  • A. Donald Oenslager chosen
    Donald Oenslager was an influential American theatrical set designer and educator known for helping shape modern stage design on Broadway in the mid-20th century.
  • B. Harold Trosper
    Harold Trosper is known primarily as the brother of American screenwriter Guy Trosper.
  • C. Fred Schaus
    Fred Schaus was an American basketball coach and executive best known for coaching the early Los Angeles Lakers teams led by Jerry West and later serving in front-office and collegiate coaching roles.
  • D. Fritz Lanman
    Fritz Lanman is an American technology executive and investor known for his leadership roles at companies like ClassPass and his early investment in and involvement with startups such as Square.
  • E. Herman Raucher
    Herman Raucher is an American author and screenwriter best known for writing the nostalgic coming-of-age film and novel "Summer of '42."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.