Triple

T10090026
Position Surface form Disambiguated ID Type / Status
Subject Elmo Williams E215318 entity
Predicate givenName P17 FINISHED
Object James Elmo 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: James Elmo | Statement: [Elmo Williams, givenName, James Elmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Elmo
Context triple: [Elmo Williams, givenName, James Elmo]
  • A. Elmer Booth
    Elmer Booth was an early 20th-century American silent film actor known for his dynamic performances in pioneering gangster and crime dramas.
  • B. Gilmor Brown
    Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
  • C. Edwin Glenn
    Edwin Glenn was a U.S. Army officer and explorer best known for leading early 20th-century expeditions in Alaska, for whom the Glenn Highway is named.
  • D. Emmett Malloy
    Emmett Malloy is an American film and music video director and producer, known for his work with artists like Jack Johnson and for co-founding the production duo The Malloys.
  • E. 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.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbe40d088190838819eac97c61e4 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9:01 p.m.