Triple

T4565343
Position Surface form Disambiguated ID Type / Status
Subject Hulk E121895 entity
Predicate ally P4662 FINISHED
Object Thor E60118 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: Thor | Statement: [Hulk, ally, Thor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thor
Context triple: [Hulk, ally, Thor]
  • A. Thor
    Thor is a Marvel superhero film based on the Norse god of thunder, following the powerful but arrogant warrior as he is exiled to Earth and learns humility while defending both his realm and humanity.
  • B. Thor chosen
    Thor is the Norse god of thunder, storms, and strength, famed for wielding the hammer Mjölnir and appearing widely in mythology and modern popular culture.
  • C. Thor: Ragnarok
    Thor: Ragnarok is a 2017 Marvel Studios superhero film that blends action and comedy as Thor battles to prevent the apocalyptic destruction of Asgard.
  • D. Thor: Love and Thunder
    Thor: Love and Thunder is a 2022 Marvel Studios superhero film that continues Thor’s story with a blend of cosmic adventure, comedy, and the introduction of Jane Foster as the Mighty Thor.
  • E. Thor: The Dark World
    Thor: The Dark World is a 2013 Marvel Cinematic Universe superhero film that follows Thor as he battles the Dark Elves and the Aether to save the Nine Realms.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589cde9081909b84186d700fc463 completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a8ea5481908a652290e9df911f completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.