Triple

T32154072
Position Surface form Disambiguated ID Type / Status
Subject Preppy Killer E821232 entity
Predicate hasLegalPlea P148761 FINISHED
Object guilty to first-degree manslaughter 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: guilty to first-degree manslaughter | Statement: [Preppy Killer, hasLegalPlea, guilty to first-degree manslaughter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalPlea
Context triple: [Preppy Killer, hasLegalPlea, guilty to first-degree manslaughter]
  • A. pleadsWith
    Indicates that one entity urgently and emotionally appeals to another, often requesting help, mercy, or a favorable decision.
  • B. pleaTo chosen
    Indicates that one entity formally requests or appeals to another entity, often seeking a specific decision, action, or lenient judgment.
  • C. hasLegalResponse
    Indicates that an entity has an associated legal reply, action, or measure taken in response to a legal situation, claim, or requirement.
  • D. hasLegalRight
    Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
  • E. hasDefenseCounsel
    Indicates that a person or party is represented or assisted by a defense attorney or legal counsel in a legal matter.
  • 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_69f34905e098819082191a6922a6d607 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd5d48855c8190bd93070b6a00d8b5 completed May 8, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69fd5c9aabb88190912800d90184a89d completed May 8, 2026, 3:46 a.m.
Created at: May 1, 2026, 12:32 a.m.