Triple

T9952313
Position Surface form Disambiguated ID Type / Status
Subject Goldcrest Films E195358 entity
Predicate collaboratedWith P435 FINISHED
Object Roland Joffé E348010 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: Roland Joffé | Statement: [Goldcrest Films, collaboratedWith, Roland Joffé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Joffé
Context triple: [Goldcrest Films, collaboratedWith, Roland Joffé]
  • A. Roland Joffé chosen
    Roland Joffé is a British film director and producer best known for his Oscar-nominated work on politically charged dramas such as "The Killing Fields" and "The Mission."
  • B. Alan Parker
    Alan Parker was a renowned British film director, producer, and screenwriter known for acclaimed works such as "Midnight Express," "Fame," and "Mississippi Burning."
  • C. Alan Parker
    Alan Parker is a British composer and guitarist known for his prolific session work and film and television scores.
  • D. Bruce Beresford
    Bruce Beresford is an acclaimed Australian film director known for his influential role in the Australian New Wave movement and for internationally recognized films such as "Breaker Morant" and "Driving Miss Daisy."
  • E. John Boorman
    John Boorman is a British film director best known for acclaimed and visually striking works such as "Deliverance," "Point Blank," and "Excalibur."
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6922f888190b5c4b58fbe21bea2 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d6743c481908a2040eb9d260b4a completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:46 p.m.