Triple

T23250457
Position Surface form Disambiguated ID Type / Status
Subject RM E581716 entity
Predicate roleInBTS P151539 FINISHED
Object spokesperson in international activities 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: spokesperson in international activities | Statement: [RM, roleInBTS, spokesperson in international activities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInBTS
Context triple: [RM, roleInBTS, spokesperson in international activities]
  • A. roleInGuitarHero
    Indicates the specific function or part an entity has within the context of the Guitar Hero game (e.g., player role, character role, or gameplay position).
  • B. roleInAnime
    Indicates that an entity holds a specific character role or participation in a particular anime work.
  • C. roleInMisfits
    Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
  • D. roleInBun
    Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
  • E. roleInName
    Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f5aa9081909775fb7f7dc660b3 completed April 29, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69effce4d704819092826931d430e8c4 completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d8770d081908897c28b04e5faea completed April 28, 2026, 2:37 a.m.
Created at: April 17, 2026, 4:10 p.m.