Triple

T18100194
Position Surface form Disambiguated ID Type / Status
Subject Jake Sully E433193 entity
Predicate portrayedBy P1507 FINISHED
Object Sam Worthington NE NERFINISHED

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: Sam Worthington | Statement: [Jake Sully, portrayedBy, Sam Worthington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Worthington
Context triple: [Jake Sully, portrayedBy, Sam Worthington]
  • A. Sam Worthington chosen
    Sam Worthington is an Australian actor best known for his leading roles in major blockbuster films such as "Avatar" and "Terminator Salvation."
  • B. James Marsden
    James Marsden is an American actor known for his roles in films like the X-Men series, Enchanted, and Hairspray, as well as prominent television work.
  • C. Daniel Gillies
    Daniel Gillies is a New Zealand-Canadian actor and filmmaker best known for his roles in television series such as "The Vampire Diaries" and its spin-off "The Originals."
  • D. Jason Anderson
    Jason Anderson is a video game designer best known as one of the original creators of the Fallout series and a key figure at Black Isle Studios.
  • E. Gerard Butler
    Gerard Butler is a Scottish actor and film producer best known for his leading roles in action and drama films such as "300," "Olympus Has Fallen," and "The Phantom of the Opera."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb5e6208190b3c3cce3b95d66ad completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.