Triple

T16510707
Position Surface form Disambiguated ID Type / Status
Subject Weezer (Green Album) E401051 entity
Predicate coverArtDesigner P184 FINISHED
Object Chris Bilheimer 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: Chris Bilheimer | Statement: [Weezer (Green Album), coverArtDesigner, Chris Bilheimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Bilheimer
Context triple: [Weezer (Green Album), coverArtDesigner, Chris Bilheimer]
  • A. Chris Bilheimer chosen
    Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
  • B. Chris Weinke
    Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
  • C. Chris Bilkey
    Chris Bilkey is an Australian local government politician who serves as the mayor of the Murray River Council in New South Wales.
  • D. Kevin Biegel
    Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
  • E. Chris Sievernich
    Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e55fe7c8190abc957bdd326d1bc completed April 18, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:14 a.m.