Triple

T22530826
Position Surface form Disambiguated ID Type / Status
Subject Plot D E557030 entity
Predicate burialPolicyReason P19571 FINISHED
Object crimes such as murder and rape 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: crimes such as murder and rape | Statement: [Plot D, burialPolicyReason, crimes such as murder and rape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: burialPolicyReason
Context triple: [Plot D, burialPolicyReason, crimes such as murder and rape]
  • A. burialPolicy
    Indicates the rules or arrangements governing how and under what conditions a person’s body is to be buried.
  • B. burialBy
    Indicates that one entity is responsible for burying or interring another entity.
  • C. deniedBurialBy
    Indicates that one entity refused or withheld permission for another entity to be buried.
  • D. burialStatus
    Indicates the state or condition of whether and how an entity has been buried.
  • E. reasonForNoGrave chosen
    Indicates the circumstance or explanation for why an individual does not have a grave or burial site.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed6734881908abbbee477dfab98 completed April 29, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69e898c864148190a3f5feec7967d49c completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:51 p.m.