Triple

T15411533
Position Surface form Disambiguated ID Type / Status
Subject Mikal Cronin E368604 entity
Predicate givenName P17 FINISHED
Object Mikal E368604 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: Mikal | Statement: [Mikal Cronin, givenName, Mikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikal
Context triple: [Mikal Cronin, givenName, Mikal]
  • A. Mikal
    Mikal is a professional basketball player best known for his two-way play and durability in the NBA.
  • B. Mikal Blue
    Mikal Blue is a music producer and songwriter known for his work with pop and rock artists, including Colbie Caillat.
  • C. Mikal Gilmore
    Mikal Gilmore is an American journalist and author best known for his memoir "Shot in the Heart," which explores the troubled history of his family and his brother Gary Gilmore.
  • D. Mikal Cronin chosen
    Mikal Cronin is an American musician and songwriter known for his melodic, garage rock-influenced indie pop and frequent collaborations with fellow artist Ty Segall.
  • E. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.