Triple

T5736791
Position Surface form Disambiguated ID Type / Status
Subject I Dreamed a Dream E126520 entity
Predicate notableCoverEvent P65527 FINISHED
Object Susan Boyle performance on Britain’s Got Talent (2009) LITERAL 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: Susan Boyle performance on Britain’s Got Talent (2009) | Statement: [I Dreamed a Dream, notableCoverEvent, Susan Boyle performance on Britain’s Got Talent (2009)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableCoverEvent
Context triple: [I Dreamed a Dream, notableCoverEvent, Susan Boyle performance on Britain’s Got Talent (2009)]
  • A. notableEventCoverage
    Indicates that there is media or documented coverage specifically focused on a notable event related to the subject.
  • B. notableCover
    Indicates that one entity is a particularly well-known or significant cover version or adaptation of another entity.
  • C. notableSubevent
    Indicates that one event is a particularly significant or noteworthy component within a larger, encompassing event.
  • D. notableEventResponse
    Indicates a response, reaction, or consequence that occurs as a result of a notable event.
  • E. notableUseEvent
    Indicates an event in which something is used in a way that is significant or noteworthy, distinguishing it from ordinary or routine use.
  • F. None of above. chosen

Provenance (4 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255ad6f48190977bf4f037110aa3 completed March 22, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c022a50c048190aff24c63e7039dd6 completed March 22, 2026, 5:11 p.m.
Created at: March 22, 2026, 3:47 p.m.