Triple

T34137559
Position Surface form Disambiguated ID Type / Status
Subject Note to Self E875607 entity
Predicate hasSpokenCredits P196225 FINISHED
Object yes 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: yes | Statement: [Note to Self, hasSpokenCredits, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpokenCredits
Context triple: [Note to Self, hasSpokenCredits, yes]
  • A. hasSpokenAbout
    Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
  • B. hasProductionCredit
    Indicates that an entity is credited as having contributed to the production of another entity, such as a work, project, or media item.
  • C. hasWrittenDialogueFor
    Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
  • D. hasStageCreditsIn
    Indicates that an entity has performed or been credited for work in a particular stage production or theatrical show.
  • E. hasPerformerCredit
    Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
  • 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_69f349aaeef08190a20e72a3fdeb7052 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
PDg Predicate description generation batch_69fe1639613c8190aaf1b4c8e2d861ba completed May 8, 2026, 4:58 p.m.
Created at: May 1, 2026, 1:53 a.m.