Triple

T22663201
Position Surface form Disambiguated ID Type / Status
Subject Leo Burnett Worldwide E559715 entity
Predicate hasNotableClient P7186 FINISHED
Object Allstate 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: Allstate | Statement: [Leo Burnett Worldwide, hasNotableClient, Allstate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allstate
Context triple: [Leo Burnett Worldwide, hasNotableClient, Allstate]
  • 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. Nationwide Insurance
    Nationwide Insurance is a major U.S.-based insurance and financial services company offering a wide range of products including auto, home, life, and commercial insurance.
  • C. Esurance
    Esurance is a U.S.-based online-focused auto and home insurance company known for its direct-to-consumer model and digital tools for buying and managing policies.
  • D. 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.
  • E. GEICO
    GEICO is a major American auto insurance company best known for its direct-to-consumer model and iconic advertising campaigns featuring the GEICO Gecko.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17660c0c88190bed9fa8f6517eec4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.