Triple

T18353879
Position Surface form Disambiguated ID Type / Status
Subject Life of Tom Dula E439738 entity
Predicate hasSubjectNotability P494 FINISHED
Object infamous murder case defendant 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: infamous murder case defendant | Statement: [Life of Tom Dula, hasSubjectNotability, infamous murder case defendant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectNotability
Context triple: [Life of Tom Dula, hasSubjectNotability, infamous murder case defendant]
  • A. hasNotableSubject chosen
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • B. subjectNotableFor
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • C. isNotable
    Indicates that an entity is recognized as significant, prominent, or worthy of attention within a particular context or domain.
  • D. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • E. hasNotabilityNote
    Indicates that there is an associated note or annotation explaining the significance, prominence, or special relevance of the subject.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d37bc08190abc9b4e8c937c914 completed April 19, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:37 a.m.