Triple

T14641790
Position Surface form Disambiguated ID Type / Status
Subject Sokka E343741 entity
Predicate affiliation P10 FINISHED
Object Team Avatar E201463 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: Team Avatar | Statement: [Sokka, affiliation, Team Avatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team Avatar
Context triple: [Sokka, affiliation, Team Avatar]
  • A. The Avatar
    The Avatar is a science fiction novel by Poul Anderson that explores humanity's first contact with an advanced alien civilization and the political and philosophical consequences that follow.
  • B. Avatar: The Last Airbender chosen
    Avatar: The Last Airbender is an acclaimed animated fantasy television series that follows a young hero who can control all four elements as he strives to bring balance to a world divided by war.
  • C. The Last Airbender
    The Last Airbender is a 2010 live-action fantasy adventure film directed by M. Night Shyamalan, adapted from the animated series "Avatar: The Last Airbender."
  • D. Avatar (2009 film)
    Avatar (2009 film) is a science fiction epic directed by James Cameron, renowned for its groundbreaking visual effects, 3D technology, and record-breaking box office success.
  • E. Avatar 5
    Avatar 5 is an upcoming installment in James Cameron’s epic science fiction film franchise set on the alien world of Pandora.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.