Triple

T19797496
Position Surface form Disambiguated ID Type / Status
Subject Colin Craven E475580 entity
Predicate laterPhysicalCondition P13710 FINISHED
Object healthy 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: healthy | Statement: [Colin Craven, laterPhysicalCondition, healthy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterPhysicalCondition
Context triple: [Colin Craven, laterPhysicalCondition, healthy]
  • A. currentPhysicalStatus
    Indicates the present condition or state of an entity’s physical being or body.
  • B. physicallyConditionedAs
    Indicates that one entity has been brought into or exists in a particular physical state or condition as specified by another entity or descriptor.
  • C. laterStatus chosen
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • D. sufferedCondition
    Indicates that an entity experienced or was afflicted by a particular condition, typically adverse or harmful, at some point in time.
  • E. injuryStatus
    Indicates the condition or state of harm, damage, or physical injury affecting an entity.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:49 p.m.