Triple

T1770973
Position Surface form Disambiguated ID Type / Status
Subject Wonder Woman (2017 film) E38872 entity
Predicate castMember P1668 FINISHED
Object Chris Pine E66393 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: Chris Pine | Statement: [Wonder Woman (2017 film), castMember, Chris Pine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Pine
Context triple: [Wonder Woman (2017 film), castMember, Chris Pine]
  • A. Chris Pine chosen
    Chris Pine is an American actor known for his leading roles in major films such as the Star Trek reboot series, Wonder Woman, and various other Hollywood productions.
  • B. Matthew Rhys
    Matthew Rhys is a Welsh actor best known for his Emmy-winning role in the television series "The Americans" and for his work in both film and television dramas.
  • C. Karl Urban
    Karl Urban is a New Zealand actor known for roles in major franchises such as The Lord of the Rings, Star Trek, and The Boys.
  • D. Robert Pattinson
    Robert Pattinson is an English actor best known for his roles as vampire Edward Cullen in the Twilight film series and as the title character in the 2022 superhero film "The Batman."
  • E. Luke Evans
    Luke Evans is a Welsh actor and singer known for his roles in films such as "The Hobbit" trilogy, "Dracula Untold," and various high-profile Hollywood productions.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648fe908819098fd27b74b17fabb completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9936f5881909b78bda48039916a completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.