Triple

T16563888
Position Surface form Disambiguated ID Type / Status
Subject Ignacy Witczak E402406 entity
Predicate intelligenceRole P124074 FINISHED
Object undercover operative 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: undercover operative | Statement: [Ignacy Witczak, intelligenceRole, undercover operative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intelligenceRole
Context triple: [Ignacy Witczak, intelligenceRole, undercover operative]
  • A. intelligenceService
    Indicates that one entity functions as an intelligence or security service organization for another entity.
  • B. providesIntelligenceTo
    Indicates that one entity supplies information, analysis, or insight that enhances the knowledge or decision-making capability of another entity.
  • C. intelligenceServiceDepicted
    Indicates that an intelligence or security service organization is visually or narratively represented in the context (e.g., in a work, scene, or depiction).
  • D. roleInGemini10
    Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
  • E. intellectualRole
    Indicates that an entity holds or performs a specific intellectual function, capacity, or responsibility in relation to another entity or work.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3577043048190bc9bcf55069b769f completed April 18, 2026, 10:05 a.m.
PD Predicate disambiguation batch_69e296a47b7481909d9958158510c806 completed April 17, 2026, 8:23 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:15 a.m.