Triple

T16240058
Position Surface form Disambiguated ID Type / Status
Subject A United Kingdom E394218 entity
Predicate producer P490 FINISHED
Object Brunson Green E393581 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: Brunson Green | Statement: [A United Kingdom, producer, Brunson Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunson Green
Context triple: [A United Kingdom, producer, Brunson Green]
  • A. Brunson Green chosen
    Brunson Green is an American film producer best known for his work on the Academy Award–winning drama "The Help."
  • B. Dupree Park
    Dupree Park is a public recreational park in Woodstock, Georgia, featuring outdoor amenities such as trails, sports facilities, and green space for community activities.
  • C. Marlon G. Priest Park
    Marlon G. Priest Park is a public recreational park located in Shelby, North Carolina.
  • D. Marcus Garvey Park
    Marcus Garvey Park is a historic public park in Harlem, New York City, known for its cultural significance, community events, and prominent fire watchtower.
  • E. Ashbel Green
    Ashbel Green was an American Presbyterian minister, educator, and eighth president of the College of New Jersey (now Princeton University), influential in early 19th-century religious and academic life.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edd1ed08190aa0211c3b17a918e completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.