Triple

T3086274
Position Surface form Disambiguated ID Type / Status
Subject Traffic (2000 film) E64379 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: [Traffic (2000 film), stars, Albert Finney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Finney
Context triple: [Traffic (2000 film), 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. Michael Redgrave
    Michael Redgrave was a distinguished English stage and film actor of the mid-20th century, acclaimed for his versatile performances in both classic theatre and notable British cinema.
  • C. 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.
  • D. Robert Clark
    Robert Clark was a British film producer best known for his work on mid-20th-century war and adventure films.
  • E. 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."
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1ec187c819084565514ebb99cdb completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89e6f5c8190993794e2c9977ee6 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.