Triple

T35160584
Position Surface form Disambiguated ID Type / Status
Subject Bailey E1015254 entity
Predicate hasMultipleLives P196604 FINISHED
Object true 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: true | Statement: [Bailey, hasMultipleLives, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultipleLives
Context triple: [Bailey, hasMultipleLives, true]
  • A. hasLivesSystem
    Indicates that an entity exists or operates within, or is governed by, a particular system of living or life-related organization.
  • B. hasDoubleLifeLocation
    Indicates that an entity maintains a second, secret or alternate place where it lives or operates in parallel to its primary location.
  • C. hasLifeline
    Indicates that one entity provides or serves as a vital source of support, resources, or survival for another entity.
  • D. hasRevivalsIn
    Indicates that something has been brought back, renewed, or reintroduced in specific times, places, or contexts.
  • E. hasLifeSpan
    Indicates that an entity is associated with a specific duration or range of time during which it remains alive or exists.
  • F. None of above. chosen

Provenance (4 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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe5d58c3e48190910aa3c23485e2c4 completed May 8, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69fe5c92090c8190bcfa412c0a3619df completed May 8, 2026, 9:58 p.m.
PDg Predicate description generation batch_69fe5d580d7c819097cb18d438b01d08 completed May 8, 2026, 10:02 p.m.
Created at: May 3, 2026, 4:02 p.m.