Triple

T3373368
Position Surface form Disambiguated ID Type / Status
Subject Anthony Skingsley E71005 entity
Predicate armedForceRole P9463 FINISHED
Object air defence leadership 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: air defence leadership | Statement: [Anthony Skingsley, armedForceRole, air defence leadership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: armedForceRole
Context triple: [Anthony Skingsley, armedForceRole, air defence leadership]
  • A. militaryRole chosen
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • B. militaryFunction
    Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
  • C. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • D. peacetimeRole
    Indicates the role, function, or duties an entity holds during periods of peace rather than during wartime or conflict.
  • E. militaryResponsibility
    Indicates that an entity holds authority, duty, or accountability for military actions, operations, or forces in relation to 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ada433059881908e46f38cc5f40a32 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.