Triple

T12266014
Position Surface form Disambiguated ID Type / Status
Subject Uncanny Avengers E292346 entity
Predicate member P10 FINISHED
Object Sabretooth E940128 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: Sabretooth | Statement: [Uncanny Avengers, member, Sabretooth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabretooth
Context triple: [Uncanny Avengers, member, Sabretooth]
  • A. Sabretooth
    Sabretooth is the anthropomorphic saber-toothed tiger who serves as the official mascot of the NHL’s Buffalo Sabres.
  • B. Sabretooth chosen
    Sabretooth is a feral Marvel Comics supervillain and frequent Wolverine adversary known for his brutal nature, enhanced healing, and animalistic abilities.
  • C. Mr. Sinister
    Mr. Sinister is a sinister geneticist and long-time X-Men supervillain in Marvel Comics, known for his obsession with mutant experimentation and manipulation.
  • D. Wolverine Wildcat
    Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
  • E. Wolverine
    Wolverine is a fierce, small but powerful mammal known for its strength, tenacity, and association with toughness in sports and popular culture.
  • 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_69f61e65bc00819091e4fee3c3af6f4f completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.