Triple

T20746584
Position Surface form Disambiguated ID Type / Status
Subject American Society of Cinematographers E510599 entity
Predicate hasFounder P104 FINISHED
Object Homer Scott 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: Homer Scott | Statement: [American Society of Cinematographers, hasFounder, Homer Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homer Scott
Context triple: [American Society of Cinematographers, hasFounder, Homer Scott]
  • A. Homer Scott chosen
    Homer Scott was a cinematographer best known as the founder of the American Society of Cinematographers, a leading professional organization for film camerawork.
  • B. Homer Jack
    Homer Jack was an American Unitarian minister and prominent civil rights and peace activist who helped lead and organize key mid-20th-century social justice movements.
  • C. Homer Martin
    Homer Martin was an American labor leader who served as an early president of the United Auto Workers and played a key role in organizing autoworkers during the 1930s.
  • D. Robert Homer
    Robert Homer is a person notable enough to be recognized as a bearer of the Homer surname.
  • E. Homer Smith
    Homer Smith is the itinerant African American handyman and ex-GI who helps a group of German nuns build a chapel in the novel and film "Lilies of the Field."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c225c564819088f2461467698095 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.