Triple

T2644250
Position Surface form Disambiguated ID Type / Status
Subject Big Fish E62946 entity
Predicate stars P1956 FINISHED
Object Albert Finney E66852 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: Albert Finney | Statement: [Big Fish, stars, Albert Finney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albert Finney
Context triple: [Big Fish, stars, Albert Finney]
  • A. Albert Finney chosen
    Albert Finney was an acclaimed English actor known for his powerful performances in films such as "Tom Jones," "Murder on the Orient Express," and "Erin Brockovich."
  • B. Robert Clark
    Robert Clark, better known as Robert Indiana, was an American artist associated with the pop art movement, famed for his iconic "LOVE" image and bold, text-based works.
  • C. Robert Clark
    Robert Clark was a British film producer best known for his work on mid-20th-century war and adventure films.
  • D. John Hurt
    John Hurt was an acclaimed English actor known for his distinctive voice and powerful performances in films such as "The Elephant Man," "Alien," and "Midnight Express."
  • E. Peter O'Toole
    Peter O'Toole was an acclaimed Irish-English actor renowned for his charismatic screen presence and multiple Academy Award–nominated performances across film, stage, and television.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd90046dc81908bab3440733f1e98 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c2bde8819085fbe1e5221be88d completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.