Triple

T12231705
Position Surface form Disambiguated ID Type / Status
Subject Luke Cage E291490 entity
Predicate occupation P3 FINISHED
Object Avenger E59209 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: Avenger | Statement: [Luke Cage, occupation, Avenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenger
Context triple: [Luke Cage, occupation, Avenger]
  • A. The Avenger
    The Avenger is a film featuring British actress Anne Heywood in a prominent role.
  • B. Revengers
    The Revengers are an improvised superhero team in the Marvel Cinematic Universe, formed by Thor and his allies to escape Sakaar and confront Hela on Asgard.
  • C. Avengers chosen
    The Avengers are a team of Marvel Comics superheroes who unite to combat powerful threats that no single hero can withstand alone.
  • D. New Avengers
    The New Avengers are a modern reformation of Marvel Comics' premier superhero team, featuring a refreshed roster of iconic heroes assembled to tackle major threats in the Marvel Universe.
  • 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_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.