Triple

T22221182
Position Surface form Disambiguated ID Type / Status
Subject Terrence Roberts E549211 entity
Predicate name P16 FINISHED
Object Terrence Roberts 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: Terrence Roberts | Statement: [Terrence Roberts, name, Terrence Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrence Roberts
Context triple: [Terrence Roberts, name, Terrence Roberts]
  • A. Terrence Roberts chosen
    Terrence Roberts is an American civil rights figure best known as one of the Little Rock Nine who integrated Central High School in Little Rock, Arkansas, in 1957.
  • B. Robert Joy
    Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
  • C. Fulton Reed
    Fulton Reed is a tough, hard-shooting defenseman and one of the original youth hockey players on the Mighty Ducks team in Disney’s "The Mighty Ducks" film series.
  • D. William Gooding
    William Gooding was a 19th-century American engineer best known for designing and overseeing the construction of major canal infrastructure in the Midwest.
  • E. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b90b1dc81908fee5fab8d5d14a2 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.