Triple

T24640812
Position Surface form Disambiguated ID Type / Status
Subject Laura García E609954 entity
Predicate canReferToMultipleNotableIndividuals P29734 FINISHED
Object true 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: true | Statement: [Laura García, canReferToMultipleNotableIndividuals, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canReferToMultipleNotableIndividuals
Context triple: [Laura García, canReferToMultipleNotableIndividuals, true]
  • A. canReferToMultipleIndividuals chosen
    Indicates that a single reference, term, or identifier may correspond to more than one individual rather than uniquely identifying just one.
  • B. hasNotablePeople
    Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
  • C. hasNamesakeNotability
    Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
  • D. hasNotablePersonConnection
    Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
  • E. notablyRefersTo
    Indicates that one entity makes a particularly significant or noteworthy reference to another entity, beyond a routine or incidental mention.
  • F. None of above.

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_69e2c4d28f848190ac38c400060e943d completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be064ff88190b5d9e5ec75a41242 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:33 a.m.