Triple

T8433741
Position Surface form Disambiguated ID Type / Status
Subject Infinity Gauntlet E199175 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Nebula E202137 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: Nebula | Statement: [Infinity Gauntlet, associatedWithCharacter, Nebula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nebula
Context triple: [Infinity Gauntlet, associatedWithCharacter, Nebula]
  • A. Nebula chosen
    Nebula is a cybernetically enhanced alien assassin and former daughter of Thanos who becomes a key member of the Guardians of the Galaxy in the Marvel Cinematic Universe.
  • B. Nebula
    Nebula is an independent, creator-owned streaming platform focused on educational and documentary-style content from popular online video creators.
  • C. Nebulastar
    Nebulastar is a film production company known for its involvement in the making of the 2019 science fiction thriller "Serenity."
  • D. Teia
    Teia was the final king of the Ostrogoths in Italy, known for leading their last resistance against the Eastern Roman Empire in the mid-6th century.
  • E. The Centaurus
    The Centaurus is a prominent mixed-use complex in Islamabad, Pakistan, featuring high-rise towers that house a shopping mall, residential apartments, offices, and a hotel.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a74d948190abd76e7a6efb42ec completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc163488190a53d8696fdba94b5 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:07 p.m.