Triple

T5136486
Position Surface form Disambiguated ID Type / Status
Subject Love Is for Losers E115835 entity
Predicate hasBandMember P22076 FINISHED
Object Jeff Matika E152986 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: Jeff Matika | Statement: [Love Is for Losers, hasBandMember, Jeff Matika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Matika
Context triple: [Love Is for Losers, hasBandMember, Jeff Matika]
  • A. Jeff Matika chosen
    Jeff Matika is an American musician best known as a touring guitarist and backing vocalist for Green Day and a member of Billie Joe Armstrong’s side projects.
  • B. Matt Eversmann
    Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
  • C. Bill Neukom
    Bill Neukom is an American lawyer and philanthropist best known as Microsoft’s former chief legal officer and a former managing general partner of the San Francisco Giants.
  • D. Michael Covino
    Michael Covino is an American filmmaker and actor best known for co-writing, directing, and starring in the acclaimed indie film "The Climb."
  • E. Brian Teta
    Brian Teta is a television producer best known for serving as the executive producer of the daytime talk show "The View."
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.