Triple

T20348412
Position Surface form Disambiguated ID Type / Status
Subject Happiness E495939 entity
Predicate hasMusicalArtistMember P22076 FINISHED
Object Jeff Matika 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: Jeff Matika | Statement: [Happiness, hasMusicalArtistMember, Jeff Matika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Matika
Context triple: [Happiness, hasMusicalArtistMember, 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. Mark Matkevich
    Mark Matkevich is an American actor and artist best known for his recurring role as Drue Valentine on the television series "Dawson's Creek."
  • C. Michael Marczak
    Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
  • D. Jay Martel
    Jay Martel is a television writer, producer, and showrunner best known for his work on acclaimed comedy series such as Key & Peele.
  • E. 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."
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.