Triple

T3537978
Position Surface form Disambiguated ID Type / Status
Subject Star Wars: The Force Awakens E74811 entity
Predicate castMember P1668 FINISHED
Object Peter Mayhew E207458 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: Peter Mayhew | Statement: [Star Wars: The Force Awakens, castMember, Peter Mayhew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Mayhew
Context triple: [Star Wars: The Force Awakens, castMember, Peter Mayhew]
  • A. Peter Mayhew chosen
    Peter Mayhew was an English-American actor best known for portraying the Wookiee Chewbacca in the original Star Wars film series.
  • B. David Prowse
    David Prowse was an English bodybuilder and actor best known for physically portraying Darth Vader in the original Star Wars trilogy.
  • C. Harrison Ford
    Harrison Ford is an iconic American actor best known for his roles as Han Solo in Star Wars and Indiana Jones in the Indiana Jones film series.
  • D. Anthony Daniels
    Anthony Daniels is an English actor best known for portraying the droid C-3PO throughout the Star Wars film series.
  • E. Billy Dee Williams
    Billy Dee Williams is an American actor best known for his charismatic roles in films such as "The Empire Strikes Back" and "Return of the Jedi," where he portrayed Lando Calrissian.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8b7fac81908c18d3f868aeba44 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.