Triple

T6153225
Position Surface form Disambiguated ID Type / Status
Subject Early Edition E137255 entity
Predicate starring P1507 FINISHED
Object Mykelti Williamson E38461 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: Mykelti Williamson | Statement: [Early Edition, starring, Mykelti Williamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mykelti Williamson
Context triple: [Early Edition, starring, Mykelti Williamson]
  • A. Mykelti Williamson chosen
    Mykelti Williamson is an American actor best known for his roles in films such as "Forrest Gump," where he played Bubba, and numerous television series.
  • B. Bryant Myers
    Bryant Myers is a Puerto Rican Latin trap and reggaeton artist known for his gritty lyrics and collaborations with major urban artists.
  • C. Warrick Brown
    Warrick Brown is a fictional crime scene investigator and forensic analyst on the television series "CSI: Crime Scene Investigation."
  • D. Tye-V Smith
    Tye-V Smith is a music producer known for his work on the track "When You Really Love Someone."
  • E. Muhammad Wilkerson
    Muhammad Wilkerson is an American former NFL defensive end best known for his Pro Bowl tenure with the New York Jets after a standout college career at Temple University.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cfe20408190b5ec9b987e1a4206 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1417c33d08190bd42558cc734601f completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:16 p.m.