Triple

T12423531
Position Surface form Disambiguated ID Type / Status
Subject I Want to Live! E296838 entity
Predicate editedBy P1954 FINISHED
Object William Hornbeck E388403 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: William Hornbeck | Statement: [I Want to Live!, editedBy, William Hornbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hornbeck
Context triple: [I Want to Live!, editedBy, William Hornbeck]
  • A. William Hornbeck chosen
    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.
  • B. Larry Hornbeck
    Larry Hornbeck is an American engineer best known for creating the digital micromirror device that underpins Texas Instruments' DLP projection technology.
  • C. George Shively
    George Shively was an early 20th-century Negro league outfielder known for his speed, strong defense, and key role on several prominent Black baseball teams.
  • D. Wendell Fertig
    Wendell Fertig was a U.S. Army engineer officer who became a leading guerrilla commander in the Philippines during World War II, organizing resistance against Japanese occupation.
  • E. Charles Bohl
    Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e70dc788190850278a40a5a62e4 completed May 9, 2026, 12:23 a.m.
Created at: April 8, 2026, 9:55 p.m.