Triple

T19489279
Position Surface form Disambiguated ID Type / Status
Subject Bakenranef E487603 entity
Predicate deathMethodTradition P11798 FINISHED
Object burned alive 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: burned alive | Statement: [Bakenranef, deathMethodTradition, burned alive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deathMethodTradition
Context triple: [Bakenranef, deathMethodTradition, burned alive]
  • A. killedByInSomeTraditions
    Indicates that, according to at least some traditions or accounts, one entity is said to have been killed by another entity.
  • B. traditionalMannerOfDeath
    Indicates that an entity died in a way that follows or reflects a culturally recognized or customary method of death.
  • C. deathMethod chosen
    Indicates the specific way or means by which a death occurred.
  • D. deathPractice
    Indicates a relationship where an entity engages in practices, rituals, or preparations specifically related to death or dying.
  • E. martyrdomMethod
    Indicates the method or means by which an individual becomes a martyr (i.e., how the martyrdom is carried out).
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348ad4088190b530f47efca90165 completed April 20, 2026, 2:13 p.m.
PD Predicate disambiguation batch_69e4fd7883308190b73912a71a35a835 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:39 p.m.