Triple

T3599299
Position Surface form Disambiguated ID Type / Status
Subject Michael King E76216 entity
Predicate name P16 FINISHED
Object Michael King E76216 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: Michael King | Statement: [Michael King, name, Michael King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael King
Context triple: [Michael King, name, Michael King]
  • A. Michael King chosen
    Michael King was the original name of Martin Luther King Sr., the influential American Baptist pastor and father of civil rights leader Martin Luther King Jr.
  • B. Wellington Mara
    Wellington Mara was a prominent American football executive best known as the longtime co-owner of the New York Giants in the National Football League.
  • C. Mike King
    Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
  • D. Donald King
    Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
  • E. Roger Whittaker
    Roger Whittaker was a Kenyan-born British singer-songwriter and whistler known for his smooth baritone voice and easy-listening folk and pop songs such as "Durham Town" and "The Last Farewell."
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19e9e98819094455cb3c4efcb9a completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4031a41d08190b8e87c452601a625 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.