Triple

T24598958
Position Surface form Disambiguated ID Type / Status
Subject King Henry II of France E608760 entity
Predicate diedFromInjuries P9132 FINISHED
Object wounds received in a jousting tournament with Gabriel de Montgomery 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: wounds received in a jousting tournament with Gabriel de Montgomery | Statement: [King Henry II of France, diedFromInjuries, wounds received in a jousting tournament with Gabriel de Montgomery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diedFromInjuries
Context triple: [King Henry II of France, diedFromInjuries, wounds received in a jousting tournament with Gabriel de Montgomery]
  • A. killedOrMortallyWounded
    Indicates that one entity caused the death of, or inflicted injuries certain to result in the death of, another entity.
  • B. fatalInjury chosen
    Indicates that an entity causes or sustains an injury that directly results in death.
  • C. deathResultedIn
    Indicates that one event, action, or condition caused or led directly to a particular death as its outcome.
  • D. deathOutcome
    Indicates that an event, condition, or action results in the death of the affected entity.
  • E. injuredIn
    Indicates that an entity sustained an injury as a result of a specified event, situation, or action.
  • 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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.