Triple

T33464297
Position Surface form Disambiguated ID Type / Status
Subject America First Committee E857003 entity
Predicate positionOnAlliances P198925 FINISHED
Object opposed military alliances with Britain 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: opposed military alliances with Britain | Statement: [America First Committee, positionOnAlliances, opposed military alliances with Britain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnAlliances
Context triple: [America First Committee, positionOnAlliances, opposed military alliances with Britain]
  • A. alliancesAround
    Indicates that alliances are formed or exist in the vicinity or context of a specified entity or focal point.
  • B. relativeByAlliance
    Indicates a familial or kinship relationship that exists due to an alliance, such as marriage or a formal pact, rather than by blood.
  • C. positionOnOpponents
    Indicates that one entity is located on or directly above the opposing side or opponent in a competitive or adversarial context.
  • D. involvesAlliance
    Indicates that there exists a cooperative or strategic alliance relationship between the referenced entities.
  • E. opposingAlliance
    Indicates that two entities belong to rival or mutually opposed alliances or factions.
  • 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_69f34973461481909c701c98ebd75623 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff14d596e88190be5263b7f96a96cd completed May 9, 2026, 11:04 a.m.
PD Predicate disambiguation batch_69ff13f0208081909369aeb3b77a6b1f completed May 9, 2026, 11:01 a.m.
PDg Predicate description generation batch_69ff14d4dfc48190bc9fba2384988a98 completed May 9, 2026, 11:04 a.m.
Created at: May 1, 2026, 1:37 a.m.