Triple

T16672838
Position Surface form Disambiguated ID Type / Status
Subject Nowhere Generation E405146 entity
Predicate follows P134 FINISHED
Object Wolves E405145 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: Wolves | Statement: [Nowhere Generation, follows, Wolves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolves
Context triple: [Nowhere Generation, follows, Wolves]
  • A. Wolves
    Wolves is the short name of the Chicago Wolves, a professional ice hockey team based in the Chicago metropolitan area that competes in the American Hockey League.
  • B. Wolves
    "Wolves" is a popular rock song by the American post-hardcore band Story of the Year, known for its energetic style and emotive lyrics.
  • C. Wolves
    "Wolves" is a moody, atmospheric hip-hop track by Kanye West that blends haunting production with introspective lyrics and prominent guest vocals.
  • D. Wolves chosen
    Wolves is a politically charged punk rock album by American band Rise Against, known for its energetic sound and socially conscious lyrics.
  • E. Wolves
    Wolves is a 2014 Canadian action-horror film about a teenage werewolf uncovering his origins, written and directed by David Hayter.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca276848190b7562d7cb88d21e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091927a408190a612a9ae2fd30d0a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.