Triple

T25635839
Position Surface form Disambiguated ID Type / Status
Subject Bertram Cates E642694 entity
Predicate controversialAction P1783 FINISHED
Object assigning evolution from a textbook 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: assigning evolution from a textbook | Statement: [Bertram Cates, controversialAction, assigning evolution from a textbook]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversialAction
Context triple: [Bertram Cates, controversialAction, assigning evolution from a textbook]
  • A. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • B. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • C. controversy chosen
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • D. controversialStatus
    Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
  • E. controversialWork
    Indicates that a work is the subject of significant public disagreement, debate, or dispute regarding its content, impact, or acceptability.
  • 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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 21, 2026, 5:22 p.m.