Triple

T5989003
Position Surface form Disambiguated ID Type / Status
Subject Liezi E133296 entity
Predicate questionedByScholars P67773 FINISHED
Object authorship 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: authorship | Statement: [Liezi, questionedByScholars, authorship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: questionedByScholars
Context triple: [Liezi, questionedByScholars, authorship]
  • A. scholarlyView
    Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
  • B. possibleIdentificationProposedByScholars
    Indicates that scholars have proposed a possible identification of one entity with another, without asserting it as certain.
  • C. hasNotableScholar
    Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
  • D. influencedScholar
    Indicates that one scholar has had a significant intellectual or academic impact on another scholar’s work, ideas, or development.
  • E. questionedIn
    Indicates that one entity is the subject of questions or interrogation conducted by another entity, typically in a formal or investigative context.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04a663a4481908983048c69cba6b6 completed March 22, 2026, 8 p.m.
Created at: March 22, 2026, 4:04 p.m.