Triple

T18084491
Position Surface form Disambiguated ID Type / Status
Subject All I Wanna Do E432798 entity
Predicate writer P1360 FINISHED
Object Kevin Gilbert 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: Kevin Gilbert | Statement: [All I Wanna Do, writer, Kevin Gilbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Gilbert
Context triple: [All I Wanna Do, writer, Kevin Gilbert]
  • A. Kevin Gilbert chosen
    Kevin Gilbert was an influential Aboriginal Australian writer, artist, and activist known for his pioneering work in Indigenous rights and literature.
  • B. Kevin Gilbert
    Kevin Gilbert was an American singer-songwriter, multi-instrumentalist, and producer known for his work in progressive rock and his behind-the-scenes contributions to major 1990s albums.
  • C. Stephen Gillett
    Stephen Gillett is an American technology and business executive known for leadership roles at companies such as Starbucks, Best Buy, and Verily (Alphabet’s life sciences division).
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Scott Dolson
    Scott Dolson is the athletic director at Indiana University, overseeing the Hoosiers’ athletic programs and their strategic direction.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fcdbec819085752e7605ae7772 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.