Triple

T34253337
Position Surface form Disambiguated ID Type / Status
Subject Henry Johnson E878804 entity
Predicate numberOfWounds P205383 FINISHED
Object 21 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: 21 | Statement: [Henry Johnson, numberOfWounds, 21]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfWounds
Context triple: [Henry Johnson, numberOfWounds, 21]
  • A. hasApproximateNumberOfWounds
    Indicates that an entity has a number of wounds that is known only approximately rather than as an exact count.
  • B. woundedAt
    Indicates that an entity was injured or harmed at a specific place or during a particular event.
  • C. numberOfGunshotWounds
    Indicates the count of gunshot wounds associated with a particular entity or event.
  • D. casualtiesWounded
    Indicates that an event or situation resulted in people being injured but not killed.
  • E. wasWoundedIn
    Indicates that an entity sustained an injury as a result of a specified event, situation, or conflict.
  • F. None of above. chosen

Provenance (4 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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379fbe4a08190bfe65ebd141164e9 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c80ba448190853011097a151b7e completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:56 a.m.