Triple

T20740604
Position Surface form Disambiguated ID Type / Status
Subject Finding Graceland E510428 entity
Predicate producer P490 FINISHED
Object Cary Brokaw 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: Cary Brokaw | Statement: [Finding Graceland, producer, Cary Brokaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cary Brokaw
Context triple: [Finding Graceland, producer, Cary Brokaw]
  • A. Cary Brokaw chosen
    Cary Brokaw is an American film and television producer known for his work on acclaimed literary adaptations and character-driven dramas.
  • B. Tom Brokaw
    Tom Brokaw is an American television journalist and author best known for serving as a longtime anchor and managing editor of NBC Nightly News.
  • C. Chris Brokaw
    Chris Brokaw is an American musician and guitarist best known for his work in influential indie rock bands such as Codeine and Come, as well as numerous collaborative and solo projects.
  • D. Jennifer Brokaw
    Jennifer Brokaw is an American physician and patient advocate, best known as the daughter of longtime NBC news anchor Tom Brokaw.
  • E. George Tuttle Brokaw
    George Tuttle Brokaw was an American lawyer and wealthy heir to a New York textile fortune, known for his high-society marriages and lifestyle in the early 20th century.
  • 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.