Triple

T9343935
Position Surface form Disambiguated ID Type / Status
Subject Alastair Grahame E224832 entity
Predicate lifeDescription P4083 FINISHED
Object had a troubled life — 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: had a troubled life | Statement: [Alastair Grahame, lifeDescription, had a troubled life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lifeDescription
Context triple: [Alastair Grahame, lifeDescription, had a troubled life]
  • A. lifeDetails chosen
    Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
  • B. characterDescription
    Indicates that one entity provides a textual description or portrayal of the characteristics, traits, or attributes of another entity.
  • C. identityNarrative
    Indicates a relationship where an entity’s sense of self or identity is constructed, expressed, or shaped through a narrative or story.
  • D. roleInIndividualLife
    Indicates the specific function, influence, or involvement that one entity has within the personal life or experiences of another entity.
  • E. lifeStatus
    Indicates the current state of an entity’s existence, such as whether it is alive, dead, or in another defined life condition.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69cc7a66aef08190b8d668cff5b04f5f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:40 p.m.