Triple

T21369246
Position Surface form Disambiguated ID Type / Status
Subject Larry Hornbeck E527007 entity
Predicate name P16 FINISHED
Object Larry Hornbeck 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: Larry Hornbeck | Statement: [Larry Hornbeck, name, Larry Hornbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Hornbeck
Context triple: [Larry Hornbeck, name, Larry Hornbeck]
  • A. Larry Hornbeck chosen
    Larry Hornbeck is an American engineer best known for creating the digital micromirror device that underpins Texas Instruments' DLP projection technology.
  • B. William Hornbeck
    William Hornbeck was an influential American film editor known for his work on numerous classic Hollywood films and for helping to shape modern editing techniques.
  • C. Gary Waldhorn
    Gary Waldhorn was a British actor best known for his comedic and character roles on television and stage, particularly in popular UK sitcoms.
  • D. Ray Haffner
    Ray Haffner is a character on the television series "The Mentalist," depicted as an FBI agent and occasional rival to protagonist Patrick Jane.
  • E. Larry Buckman
    Larry Buckman is a central character in the film and television franchise "Parenthood," portrayed as one of the Buckman family members whose personal struggles and relationships drive much of the story’s emotional core.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ad04e081908ff02b2ee2bc7485 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:09 p.m.