Triple

T12231265
Position Surface form Disambiguated ID Type / Status
Subject Avengers Mansion E291481 entity
Predicate associatedWithCharacter P1481 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: [Avengers Mansion, associatedWithCharacter, Vision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision
Context triple: [Avengers Mansion, associatedWithCharacter, 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.