Triple

T12266013
Position Surface form Disambiguated ID Type / Status
Subject Uncanny Avengers E292346 entity
Predicate member P10 FINISHED
Object Vision E123985 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: Vision | Statement: [Uncanny Avengers, member, Vision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision
Context triple: [Uncanny Avengers, member, Vision]
  • A. Vision chosen
    Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
  • B. Vision
    Vision is Apple’s mixed-reality product line centered on advanced spatial computing headsets like the Apple Vision Pro.
  • C. VIS
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • D. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • E. See
    See is a post-apocalyptic science fiction television series in which a future human society has lost the sense of sight, leading to unique cultural and power struggles.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8afc2c8190af33f75356376977 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:52 p.m.