Triple

T4404548
Position Surface form Disambiguated ID Type / Status
Subject Kris Boyd E93696 entity
Predicate name P16 FINISHED
Object Kris Boyd E93696 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: Kris Boyd | Statement: [Kris Boyd, name, Kris Boyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kris Boyd
Context triple: [Kris Boyd, name, Kris Boyd]
  • A. Kris Boyd chosen
    Kris Boyd is a former Scottish professional footballer and prolific striker best known for his goal-scoring exploits with Rangers and Kilmarnock.
  • B. John McGinn
    John McGinn is a Scottish professional footballer and influential midfielder known for his energy, tenacity, and leadership for both Aston Villa and the Scotland national team.
  • C. Calum MacLeod
    Calum MacLeod is a Scottish Gaelic name borne by several notable individuals, including figures in politics, sports, and the arts.
  • D. Robert Snodgrass
    Robert Snodgrass is a Scottish professional footballer best known as a creative winger and midfielder who has played in the English Premier League and for the Scotland national team.
  • E. Douglas Shearer
    Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.