Triple

T12730193
Position Surface form Disambiguated ID Type / Status
Subject Gary Waldhorn E304213 entity
Predicate name P16 FINISHED
Object Gary Waldhorn E304213 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: Gary Waldhorn | Statement: [Gary Waldhorn, name, Gary Waldhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Waldhorn
Context triple: [Gary Waldhorn, name, Gary Waldhorn]
  • A. Gary Waldhorn chosen
    Gary Waldhorn was a British actor best known for his comedic and character roles on television and stage, particularly in popular UK sitcoms.
  • B. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • C. Jerry Grote
    Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
  • D. Larry Hornbeck
    Larry Hornbeck is an American engineer best known for creating the digital micromirror device that underpins Texas Instruments' DLP projection technology.
  • E. Cliff Schmautz
    Cliff Schmautz was a Canadian professional ice hockey right winger best known for his prolific scoring in the Western Hockey League and later play in the NHL during the 1960s and 1970s.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd084d94081909ae911fce5640aaf completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 5:25 p.m.