Triple

T13941189
Position Surface form Disambiguated ID Type / Status
Subject John Singleton E335255 entity
Predicate directorOf P537 FINISHED
Object Rosewood E569933 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: Rosewood | Statement: [John Singleton, directorOf, Rosewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosewood
Context triple: [John Singleton, directorOf, Rosewood]
  • A. Rosewood chosen
    Rosewood is a 1997 historical drama film directed by John Singleton that depicts the 1923 racially motivated massacre in the African-American community of Rosewood, Florida.
  • B. Rosegreen
    Rosegreen is a small rural village in County Tipperary, Ireland, known for its agricultural surroundings and close-knit community.
  • C. Belle Haven
    Belle Haven is a residential neighborhood in the city of Menlo Park on the San Francisco Peninsula in California.
  • D. Belle Haven
    Belle Haven is an affluent, waterfront residential neighborhood in Greenwich, Connecticut, known for its private, gated community and scenic views of Long Island Sound.
  • E. Sweethaven
    Sweethaven is the fictional seaside town that serves as the quirky home of Popeye and other characters in the Popeye universe.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ca49a881909e77b5a2ae13265f completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.