Triple

T3614816
Position Surface form Disambiguated ID Type / Status
Subject Allstate E76573 entity
Predicate hasSubsidiary P254 FINISHED
Object Allstate Benefits E76573 NE 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: Allstate Benefits | Statement: [Allstate, hasSubsidiary, Allstate Benefits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allstate Benefits
Context triple: [Allstate, hasSubsidiary, Allstate Benefits]
  • A. Allstate chosen
    Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
  • B. American Family Insurance
    American Family Insurance is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products across multiple states.
  • C. Amica Mutual Insurance Company
    Amica Mutual Insurance Company is a U.S.-based mutual insurer offering auto, home, life, and other personal insurance products directly to consumers.
  • D. Northwestern Mutual
    Northwestern Mutual is a major American financial services and insurance company known for its life insurance, investment, and wealth management products.
  • E. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc279f6948190b9655a4cf3e77d89 completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433184a4081908598f4084e959c2e completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.