Triple

T2834484
Position Surface form Disambiguated ID Type / Status
Subject The Color Purple (1985 film) E62316 entity
Predicate castMember P1668 FINISHED
Object Danny Glover E76781 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: Danny Glover | Statement: [The Color Purple (1985 film), castMember, Danny Glover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Glover
Context triple: [The Color Purple (1985 film), castMember, Danny Glover]
  • A. Danny Glover chosen
    Danny Glover is an American actor and activist best known for his roles in films such as the "Lethal Weapon" series and "The Color Purple."
  • B. Tommy Lee Jones
    Tommy Lee Jones is an American actor and filmmaker known for his tough, stoic characters in films such as "The Fugitive," "No Country for Old Men," and "Men in Black."
  • C. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • D. Bill Paxton
    Bill Paxton was an American actor and filmmaker known for his versatile roles in films such as "Aliens," "Twister," "Titanic," and "Apollo 13."
  • E. Dominique Caine
    Dominique Caine is one of the children of acclaimed British actor Michael Caine.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d71c214819086422d2b16b1f49d completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.