Triple

T12588756
Position Surface form Disambiguated ID Type / Status
Subject Frank Seiberling E300541 entity
Predicate name P16 FINISHED
Object Frank Seiberling E300541 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: Frank Seiberling | Statement: [Frank Seiberling, name, Frank Seiberling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Seiberling
Context triple: [Frank Seiberling, name, Frank Seiberling]
  • A. Frank Seiberling chosen
    Frank Seiberling was an American industrialist best known for founding the Goodyear Tire & Rubber Company, which became one of the world’s leading tire manufacturers.
  • B. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • C. Herbert Fisher
    Herbert Fisher was a British historian and Liberal politician who served as President of the Board of Education in the early 20th century.
  • D. Clarence Fahnestock
    Clarence Fahnestock was a New York physician and outdoorsman whose legacy is commemorated by the state park that bears his name.
  • E. George B. Rathmann
    George B. Rathmann was an American chemist and biotechnology executive best known as a co-founder and first CEO of Amgen, a pioneering biopharmaceutical company.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec0a60c8190948706e8b2fcc0ad completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:06 p.m.