Triple

T37563877
Position Surface form Disambiguated ID Type / Status
Subject D.A.R.Y.L. E933898 entity
Predicate militaryOrganizationInPlot P4889 FINISHED
Object United States military NE NERFINISHED

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: United States military | Statement: [D.A.R.Y.L., militaryOrganizationInPlot, United States military]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryOrganizationInPlot
Context triple: [D.A.R.Y.L., militaryOrganizationInPlot, United States military]
  • A. militaryOrganization chosen
    Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
  • B. foughtInOrganization
    Indicates that an individual actively participated in combat or military operations as a member of the specified organization.
  • C. foughtByOrganization
    Indicates that an organization is the agent or participant engaging in a fight, battle, or armed conflict.
  • D. defenseOrganization
    Indicates a relationship where an entity functions as an organization responsible for defense or military-related activities for another entity or jurisdiction.
  • E. notableMilitaryUnit
    Indicates that an entity is a military unit that holds particular significance, prominence, or recognition in some context.
  • 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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: May 3, 2026, 4:17 p.m.