Triple

T33748759
Position Surface form Disambiguated ID Type / Status
Subject Harry O E864774 entity
Predicate leadCharacterPhysicalCondition P51534 FINISHED
Object has a bullet lodged in his back 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: has a bullet lodged in his back | Statement: [Harry O, leadCharacterPhysicalCondition, has a bullet lodged in his back]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadCharacterPhysicalCondition
Context triple: [Harry O, leadCharacterPhysicalCondition, has a bullet lodged in his back]
  • A. leadCharacterStatus
    Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
  • B. maleLeadCharacterCondition
    Indicates that a specified condition or attribute applies to the male lead character in a narrative or work.
  • C. 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.
  • D. currentPhysicalStatus chosen
    Indicates the present condition or state of an entity’s physical being or body.
  • E. featuresCharacterWithStatus
    Indicates that something (such as a work or scene) includes a character who has a specified status or condition.
  • 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_69f3498c35f881909df279ae4270f831 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.