Triple

T19872725
Position Surface form Disambiguated ID Type / Status
Subject Point of No Return E477557 entity
Predicate hasArtisticPersona P44157 FINISHED
Object vulnerable yet strong woman 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: vulnerable yet strong woman | Statement: [Point of No Return, hasArtisticPersona, vulnerable yet strong woman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtisticPersona
Context triple: [Point of No Return, hasArtisticPersona, vulnerable yet strong woman]
  • A. artisticIdentity chosen
    Indicates the relationship between an entity and the artistic persona, style, or creative role that characterizes how it is recognized or expresses itself in an artistic context.
  • B. hasArtisticDiscipline
    Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
  • C. hasArtisticGenre
    Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
  • D. hasArtisticFocus
    Indicates that an entity’s primary artistic attention, theme, or specialization is directed toward a particular subject, style, or medium.
  • E. artisticName
    Indicates that one entity is the stage or artistic name used by another entity.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.