Triple

T34916727
Position Surface form Disambiguated ID Type / Status
Subject Titus Price E1007019 entity
Predicate affectsLifeOf P40524 FINISHED
Object Anna Tellwright 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: Anna Tellwright | Statement: [Titus Price, affectsLifeOf, Anna Tellwright]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectsLifeOf
Context triple: [Titus Price, affectsLifeOf, Anna Tellwright]
  • A. alsoAffects
    Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
  • B. publicLife
    Indicates that an entity is involved in activities, roles, or interactions that are conducted openly in the public sphere rather than in private life.
  • C. affectsPhenomenon
    Indicates that one phenomenon produces an influence or change on another phenomenon.
  • D. affectedPerson chosen
    Indicates that a particular person is impacted or influenced by an event, action, or condition.
  • E. lifetimeAffectedBy
    Indicates that the duration or span of existence of one entity is influenced, altered, or determined by another entity or factor.
  • 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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4 p.m.