Triple

T28950821
Position Surface form Disambiguated ID Type / Status
Subject Medraut E731009 entity
Predicate fatallyWounds P62389 FINISHED
Object KingArthur NE NERFINISHED

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: KingArthur | Statement: [Medraut, fatallyWounds, KingArthur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fatallyWounds
Context triple: [Medraut, fatallyWounds, KingArthur]
  • A. fatalInjury
    Indicates that an entity causes or sustains an injury that directly results in death.
  • B. fatallyDamaged
    Indicates that an entity has been harmed or impaired to such an extent that death is inevitable or has already occurred as a result of the damage.
  • C. killedOrMortallyWounded chosen
    Indicates that one entity caused the death of, or inflicted injuries certain to result in the death of, another entity.
  • D. woundedAt
    Indicates that an entity was injured or harmed at a specific place or during a particular event.
  • E. wasDeadly
    Indicates that an event, action, or condition resulted in death or had the capacity to cause death.
  • 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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65bb81a548190b34758aa480a8f11 completed May 2, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 8:43 a.m.