Triple

T11019855
Position Surface form Disambiguated ID Type / Status
Subject Perfect Moment E260458 entity
Predicate producer P490 FINISHED
Object Mark Taylor E700523 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: Mark Taylor | Statement: [Perfect Moment, producer, Mark Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Taylor
Context triple: [Perfect Moment, producer, Mark Taylor]
  • A. Mark Taylor chosen
    Mark Taylor is a music producer known for his work on the project "Tissues and Issues."
  • B. Matthew Hayden
    Matthew Hayden is a former Australian opening batsman renowned for his powerful stroke play and prolific run-scoring in international cricket.
  • C. Martin Taylor
    Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
  • D. Martin Taylor
    Martin Taylor is a renowned British jazz guitarist celebrated for his virtuosic solo fingerstyle technique and lyrical, harmonically rich interpretations.
  • E. Adam Gilchrist
    Adam Gilchrist is a legendary Australian wicket-keeper batsman renowned for his explosive batting, dynamic glove work, and key role in Australia's dominant era in international cricket.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374e550508190aa3779191196f329 completed April 18, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:25 p.m.