Triple

T5787652
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Lamour E128307 entity
Predicate militarySupportRole P5004 FINISHED
Object USO entertainer during World War II 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: USO entertainer during World War II | Statement: [Dorothy Lamour, militarySupportRole, USO entertainer during World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militarySupportRole
Context triple: [Dorothy Lamour, militarySupportRole, USO entertainer during World War II]
  • A. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • B. militaryFunction chosen
    Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
  • C. mandatedRoleOfForce
    Indicates that an authority has officially assigned or required a specific role or function for a particular force.
  • D. militaryResponsibility
    Indicates that an entity holds authority, duty, or accountability for military actions, operations, or forces in relation to another entity.
  • E. combatantCommandSupport
    Indicates that one combatant provides command-related support or assistance to another combatant or combat unit.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5297c88190bd28adb2552a26f4 completed March 22, 2026, 5:43 p.m.
PD Predicate disambiguation batch_69c021d2cd608190b98a7e3aa7001d27 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:51 p.m.