Triple

T20740607
Position Surface form Disambiguated ID Type / Status
Subject Finding Graceland E510428 entity
Predicate composer P1361 FINISHED
Object Stephen Endelman 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: Stephen Endelman | Statement: [Finding Graceland, composer, Stephen Endelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Endelman
Context triple: [Finding Graceland, composer, Stephen Endelman]
  • A. Stephen Endelman chosen
    Stephen Endelman is a British-born film composer known for his work on independent and mainstream movies, blending orchestral and contemporary styles in his scores.
  • B. Stephen Endlicher
    Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
  • C. Peter Elkind
    Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
  • D. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • E. Michael Edelstein
    Michael Edelstein is a television producer best known for his executive production work on the hit series "Desperate Housewives."
  • 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_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.