Triple

T6814230
Position Surface form Disambiguated ID Type / Status
Subject Tommy Boy E156711 entity
Predicate setIn P1393 FINISHED
Object Sandusky, Ohio E44706 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: Sandusky, Ohio | Statement: [Tommy Boy, setIn, Sandusky, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandusky, Ohio
Context triple: [Tommy Boy, setIn, Sandusky, Ohio]
  • A. Sandusky, Ohio chosen
    Sandusky, Ohio is a city on the shores of Lake Erie best known as a regional tourist hub and home to the Cedar Point amusement park.
  • B. Clyde, Ohio
    Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
  • C. Norwalk, Ohio
    Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
  • D. Boardman, Ohio
    Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
  • E. Steubenville, Ohio
    Steubenville, Ohio is a historic industrial city along the Ohio River known for its steel production heritage and role as a regional transportation hub.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723da8fe08190b507e569a2511f5a completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.