Triple

T29185795
Position Surface form Disambiguated ID Type / Status
Subject Stephen Byerley E739864 entity
Predicate testForHumanity P40583 FINISHED
Object public appearance eating an apple 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: public appearance eating an apple | Statement: [Stephen Byerley, testForHumanity, public appearance eating an apple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testForHumanity
Context triple: [Stephen Byerley, testForHumanity, public appearance eating an apple]
  • A. test
    Indicates that an entity performs, undergoes, or is associated with a testing or examination process involving another entity or condition.
  • B. testingAuthority
    Indicates that an entity has the official role or responsibility of conducting, overseeing, or validating a test or examination for another entity or process.
  • C. testedFor chosen
    Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
  • D. testType
    Indicates the specific category or kind of test associated with an entity or event.
  • E. tests
    Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
  • 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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6638722fc819098f18314dfa88a6c completed May 2, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69f65c24f8b48190af81b575f3c15be5 completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 11:59 a.m.