Triple

T2308322
Position Surface form Disambiguated ID Type / Status
Subject High Noon E51892 entity
Predicate editedBy P1954 FINISHED
Object Elmo Williams E215318 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: Elmo Williams | Statement: [High Noon, editedBy, Elmo Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmo Williams
Context triple: [High Noon, editedBy, Elmo Williams]
  • A. Elmo Williams chosen
    Elmo Williams was an American film editor and producer best known for his Academy Award–winning work on "High Noon" and contributions to numerous classic Hollywood films.
  • B. Rallo Tubbs
    Rallo Tubbs is a precocious, sharp-tongued young boy and one of the central comedic characters in the animated sitcom "The Cleveland Show."
  • C. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • D. Mickey Jones
    Mickey Jones was an American drummer and character actor known for his work with prominent rock bands in the 1960s and 1970s and for numerous film and television roles.
  • E. Semeka Randall
    Semeka Randall is a former American college basketball star and WNBA guard best known for her standout career under coach Pat Summitt at the University of Tennessee.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc607cf4881908ba4ea2a7f5dedc9 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f3a007c8190b5c8683ced9d77fa completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.