Triple

T17335309
Position Surface form Disambiguated ID Type / Status
Subject Sabine Wren E420920 entity
Predicate roleOnGhost P68592 FINISHED
Object demolitions expert 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: demolitions expert | Statement: [Sabine Wren, roleOnGhost, demolitions expert]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOnGhost
Context triple: [Sabine Wren, roleOnGhost, demolitions expert]
  • A. playRoleIn chosen
    Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
  • B. roleInGameplay
    Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
  • C. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • D. roleAtVicariousVisions
    Indicates the specific position or role an entity holds at Vicarious Visions.
  • E. roleInScene
    Indicates that an entity participates in a particular scene with a specific role or function within that scene.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a1125d88190b67243b30d93ce1c completed April 19, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69e3b021a5bc81909ae55406f9d0b37f completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:43 a.m.