Triple

T29119649
Position Surface form Disambiguated ID Type / Status
Subject Lord Dorwin E737143 entity
Predicate perceivedCompetence P78428 FINISHED
Object low scholarly rigor 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: low scholarly rigor | Statement: [Lord Dorwin, perceivedCompetence, low scholarly rigor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perceivedCompetence
Context triple: [Lord Dorwin, perceivedCompetence, low scholarly rigor]
  • A. competence
    Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
  • B. perceivedPower
    Indicates a relationship where one entity’s level of power, influence, or authority is judged or experienced as such by another entity, regardless of the actual power held.
  • C. perceivedAttribute chosen
    Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
  • D. supportsCompetency
    Indicates that one entity provides the basis, evidence, or reinforcement for the development, validation, or demonstration of a particular competency.
  • E. regulatesCompetenceIn
    Indicates that one entity controls, influences, or modulates the ability or readiness of another entity to perform a specific function or process.
  • 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_69f077ed54e08190bb02a744e8121a66 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f67d3624248190a36a9b2d2e9778d4 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 28, 2026, 11:24 a.m.