Triple

T15999701
Position Surface form Disambiguated ID Type / Status
Subject Sonic Adventure E388062 entity
Predicate featuresCharacter P626 FINISHED
Object Chaos E732820 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: Chaos | Statement: [Sonic Adventure, featuresCharacter, Chaos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaos
Context triple: [Sonic Adventure, featuresCharacter, Chaos]
  • A. Chaos
    "Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
  • B. Chaos
    Chaos is the nickname of Colby Covington, an American mixed martial artist known for his outspoken persona and success in the UFC welterweight division.
  • C. Chaos chosen
    Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
  • D. Chaos
    Chaos is the official mascot of the Huntsville Havoc professional ice hockey team.
  • E. Chaos
    Chaos is a renowned photography book by Josef Koudelka that presents a powerful, wide-ranging collection of his panoramic black-and-white images capturing fragmented landscapes and human-altered environments.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.