Triple

T15982538
Position Surface form Disambiguated ID Type / Status
Subject Dan Conner E387609 entity
Predicate residence P75 FINISHED
Object Lanford, Illinois E685273 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: Lanford, Illinois | Statement: [Dan Conner, residence, Lanford, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanford, Illinois
Context triple: [Dan Conner, residence, Lanford, Illinois]
  • A. Lanford, Illinois chosen
    Lanford, Illinois is the fictional working-class Midwestern town that serves as the primary backdrop for the television sitcom "Roseanne."
  • B. Leland, Illinois
    Leland, Illinois is a small rural village located in north-central Illinois within LaSalle County.
  • C. Lyndon, Illinois
    Lyndon, Illinois is a small village in Whiteside County in northwestern Illinois, known for its rural character and proximity to the Rock River.
  • D. Laona, Illinois
    Laona, Illinois is a small unincorporated community in Illinois, United States, known as the birthplace of social reformer and Hull House co-founder Ellen Gates Starr.
  • E. Lomax, Illinois
    Lomax, Illinois is a small village located in western Illinois along the Mississippi River in Henderson County.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15755b5548190acfa29eecb11e675 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 4:54 a.m.