Triple

T20698441
Position Surface form Disambiguated ID Type / Status
Subject X-Men: Evolution E508713 entity
Predicate featuresCharacter P626 FINISHED
Object Avalanche NE NERFINISHED

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: Avalanche | Statement: [X-Men: Evolution, featuresCharacter, Avalanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avalanche
Context triple: [X-Men: Evolution, featuresCharacter, Avalanche]
  • A. Avalanche
    Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
  • B. Avalanche
    Avalanche is a decentralized smart contracts platform and blockchain network known for its high throughput, low latency, and support for multiple interoperable subnets.
  • C. Avalanche
    "Avalanche" is an album by the indie rock band Some Velvet Sidewalk, known for its lo-fi, experimental sound within the early 1990s underground music scene.
  • D. Avalanche
    "Avalanche" is a dark, introspective song by Leonard Cohen, known for its haunting lyrics and stark, minimalist arrangement.
  • E. Avalanche chosen
    Avalanche is a Marvel Comics supervillain and mutant often depicted as an enemy of the X-Men, known for his ability to generate destructive seismic waves.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c113e4cc8190aabc11e3f2530e32 completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:11 p.m.