Triple

T3556783
Position Surface form Disambiguated ID Type / Status
Subject Assembly Hall E75237 entity
Predicate sponsor P67 FINISHED
Object State Farm E73975 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: State Farm | Statement: [Assembly Hall, sponsor, State Farm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Farm
Context triple: [Assembly Hall, sponsor, State Farm]
  • A. State Farm Insurance chosen
    State Farm Insurance is a large U.S.-based group of insurance and financial services companies best known for its auto and home insurance offerings and extensive national advertising presence.
  • 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. Allstate
    Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
  • D. State Farm Bank (former)
    State Farm Bank was a now-defunct U.S. direct bank that offered consumer banking and financial services under the State Farm brand.
  • E. Great American Insurance Company
    Great American Insurance Company is a major U.S.-based property and casualty insurer known for providing specialized commercial insurance products and services.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb95bcc88190abf1ea2efc30faeb completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.