Triple

T1302376
Position Surface form Disambiguated ID Type / Status
Subject Germanic peoples E27794 entity
Predicate worshipped P11525 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: [Germanic peoples, worshipped, Thor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thor
Context triple: [Germanic peoples, worshipped, 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. Avengers
    The Avengers are a team of Marvel Comics superheroes who unite to combat powerful threats that no single hero can withstand alone.
  • E. The Avengers
    The Avengers is a 1960s British espionage television series blending stylish spy drama with quirky, often surreal humor and science fiction elements.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.