Triple

T19995473
Position Surface form Disambiguated ID Type / Status
Subject Munkustrap E494180 entity
Predicate stageBlockingRole P31161 FINISHED
Object often positioned near Old Deuteronomy 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: often positioned near Old Deuteronomy | Statement: [Munkustrap, stageBlockingRole, often positioned near Old Deuteronomy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stageBlockingRole
Context triple: [Munkustrap, stageBlockingRole, often positioned near Old Deuteronomy]
  • A. theaterRole
    Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
  • B. stagePersonaOf
    Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
  • C. playRoleIn
    Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
  • D. roleInTheatreEcosystem
    Indicates the specific function, responsibility, or position an entity holds within the interconnected system of theatre production, distribution, and audience engagement.
  • E. roleInScene chosen
    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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69e537fd311881908448f2aea8b4812e completed April 19, 2026, 8:15 p.m.
Created at: April 11, 2026, 3:31 p.m.