Triple

T3125513
Position Surface form Disambiguated ID Type / Status
Subject Plain Pat E65286 entity
Predicate coFoundedWith P2835 FINISHED
Object Emile Haynie E70557 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: Emile Haynie | Statement: [Plain Pat, coFoundedWith, Emile Haynie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emile Haynie
Context triple: [Plain Pat, coFoundedWith, Emile Haynie]
  • A. Emile Haynie chosen
    Emile Haynie is a Grammy-winning American record producer known for his work with artists such as Kanye West, Lana Del Rey, and Eminem.
  • B. Chris Harris Jr.
    Chris Harris Jr. is an American football cornerback best known for his Pro Bowl and All-Pro career with the Denver Broncos, including helping the team win Super Bowl 50.
  • C. Sam Bromell
    Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
  • D. Jackson Graham
    Jackson Graham was an American civil engineer and U.S. Army officer who became the first general manager of the Washington Metropolitan Area Transit Authority (WMATA).
  • E. Jalen McDaniels
    Jalen McDaniels is an American professional basketball player and versatile forward known for his collegiate career at San Diego State before entering the NBA.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52e9f348190aa15b2c0d252719f completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235ad86288190850f6c355a187b26 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.