Triple

T12717745
Position Surface form Disambiguated ID Type / Status
Subject Ryan Newman E303891 entity
Predicate stateOfBirth P1 FINISHED
Object Indiana E32567 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: Indiana | Statement: [Ryan Newman, stateOfBirth, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indiana
Context triple: [Ryan Newman, stateOfBirth, Indiana]
  • A. Indiana chosen
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • B. Indiana
    "Indiana" is a jazz standard widely performed and recorded by saxophonist Don Byas, showcasing his virtuosic improvisational style.
  • C. Hoosier State
    The Hoosier State was a passenger train service that operated between Chicago, Illinois, and Indianapolis, Indiana, providing regional rail transportation in the Midwestern United States.
  • D. Indiana and Kentucky
    Indiana and Kentucky are neighboring U.S. states in the Midwest and Upper South, respectively, separated in large part by the Ohio River.
  • E. Illinois
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c802e248190865a6561ad1bf0b6 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:23 p.m.