Triple

T32748365
Position Surface form Disambiguated ID Type / Status
Subject Keiko Miura E837421 entity
Predicate hasSecretiveEmployer P162272 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: [Keiko Miura, hasSecretiveEmployer, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecretiveEmployer
Context triple: [Keiko Miura, hasSecretiveEmployer, true]
  • A. employedIncognito
    Indicates that one entity is working for or employed by another while deliberately concealing their true identity or role.
  • B. secretlyIs chosen
    Indicates that one entity possesses a hidden or undisclosed identity, role, or attribute in relation to another entity.
  • C. keepsSecretAbout
    Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
  • D. hasKeyEmployer
    Indicates that an entity has a primary or main employer with which it holds a significant employment relationship.
  • E. hasSecretIdentity
    Indicates that an entity possesses an alternate, hidden identity that is not publicly known.
  • 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_69f34937f97c8190b7f84bea045df3ae completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff64b957bc81908afbc5914234a8ea completed May 9, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69ff6446593c81909173e296eea2590c completed May 9, 2026, 4:43 p.m.
Created at: May 1, 2026, 1:12 a.m.