Triple

T33465042
Position Surface form Disambiguated ID Type / Status
Subject Wemmick E857021 entity
Predicate hasDualLife P138711 FINISHED
Object Professional life at office 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: Professional life at office | Statement: [Wemmick, hasDualLife, Professional life at office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDualLife
Context triple: [Wemmick, hasDualLife, Professional life at office]
  • A. doubleLife chosen
    Indicates that an entity maintains two distinct, separate identities or lifestyles that are kept hidden from one another.
  • 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. hasHomeDualsAt
    Indicates that an entity has corresponding dual (home/away or counterpart) versions located at a specified place or context.
  • D. hasDualSpace
    Indicates that one mathematical space is the dual space consisting of all linear functionals defined on another space.
  • E. hasDualCareer
    Indicates that an entity simultaneously maintains two distinct professional roles or career paths.
  • 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_69f34973461481909c701c98ebd75623 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e4f996948190a20e96059d5188cc completed May 3, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69f6e3da41948190a4cfe866ce184f73 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:37 a.m.