Triple

T21429724
Position Surface form Disambiguated ID Type / Status
Subject Ciao Adios E528651 entity
Predicate writer P1360 FINISHED
Object Pete Kelleher 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: Pete Kelleher | Statement: [Ciao Adios, writer, Pete Kelleher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Kelleher
Context triple: [Ciao Adios, writer, Pete Kelleher]
  • A. Pete Kelleher chosen
    Pete Kelleher is a music producer known for his work on Robbie Williams' album "The Heavy Entertainment Show."
  • B. Mike Kehoe
    Mike Kehoe is an American Republican politician and businessman who serves as the lieutenant governor of Missouri.
  • C. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • D. Pete Durnell
    Pete Durnell is a British politician who stood as a candidate in the 2017 West Midlands mayoral election.
  • E. Chris Keenan
    Chris Keenan is a key developer and producer at inXile Entertainment, known for his leadership roles on classic-style role-playing games such as the Wasteland series.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.