Triple

T8065699
Position Surface form Disambiguated ID Type / Status
Subject Noel Gallagher E188237 entity
Predicate notableWork P4 FINISHED
Object Wonderwall E184424 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: Wonderwall | Statement: [Noel Gallagher, notableWork, Wonderwall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonderwall
Context triple: [Noel Gallagher, notableWork, Wonderwall]
  • A. Wonderwall chosen
    "Wonderwall" is a 1995 Britpop anthem by the English rock band Oasis that became one of their most iconic and commercially successful songs worldwide.
  • B. Somewhere
    "Somewhere" is a track by the American rock band Soundgarden from their influential 1991 album *Badmotorfinger*.
  • C. Somewhere
    "Somewhere" is a poignant ballad from the musical West Side Story that expresses a longing for a peaceful place where love can transcend conflict and prejudice.
  • D. Somewhere
    Somewhere is a 2010 introspective drama film written and directed by Sofia Coppola that follows a disaffected Hollywood actor reconnecting with his young daughter.
  • E. Nowhere
    Nowhere is a surreal 1997 teen black comedy film written and directed by Gregg Araki, known for its chaotic narrative, stylized visuals, and depiction of disaffected Los Angeles youth.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6769c6948190805188b09c16bed4 completed April 1, 2026, 6:43 p.m.
Created at: March 30, 2026, 5:26 p.m.