Triple

T8885394
Position Surface form Disambiguated ID Type / Status
Subject Leaf Coneybear E211515 entity
Predicate eliminationReason P12269 FINISHED
Object misspells a word after being distracted 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: misspells a word after being distracted | Statement: [Leaf Coneybear, eliminationReason, misspells a word after being distracted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eliminationReason
Context triple: [Leaf Coneybear, eliminationReason, misspells a word after being distracted]
  • A. reasonForElimination chosen
    Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
  • B. reasonForDismissal
    Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
  • C. expulsionReason
    Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
  • D. suspensionReason
    Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
  • E. statedReason
    Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618bd30881909e54d0708f144786 completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.