Triple

T22071406
Position Surface form Disambiguated ID Type / Status
Subject John Stossel E545414 entity
Predicate placeOfBirth P1 FINISHED
Object Illinois 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: Illinois | Statement: [John Stossel, placeOfBirth, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illinois
Context triple: [John Stossel, placeOfBirth, Illinois]
  • A. Illinois chosen
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • B. Illinois 47
    Illinois 47 is a north–south state highway in Illinois that runs through both rural areas and growing suburban communities, serving as a key regional route.
  • C. Ohio, Illinois
    Ohio, Illinois is a small rural village in Bureau County known for its agricultural surroundings and quiet small-town character.
  • D. Como, Illinois
    Como, Illinois is a small unincorporated community in Whiteside County that forms part of the Sterling Micropolitan Statistical Area.
  • E. Illinois and Indiana
    Illinois and Indiana are neighboring Midwestern U.S. states whose shared boundary is partly defined by the Ohio River.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12888dcc08190b18d3d44d09ab943 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.