Triple

T7538534
Position Surface form Disambiguated ID Type / Status
Subject Giant E178211 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: [Giant, editedBy, William Hornbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hornbeck
Context triple: [Giant, 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. Philip Garris
    Philip Garris is an American artist best known for his iconic fantasy- and mythology-inspired album cover artwork, particularly for the Grateful Dead.
  • E. Lester Orlebeck
    Lester Orlebeck was an American film editor and occasional director known for his work on numerous Hollywood features, including classic family films of the mid-20th century.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9c2dc39fc8190ae244a4077808e17 completed March 30, 2026, 12:25 a.m.
Created at: March 27, 2026, 3:48 p.m.