Triple

T13133297
Position Surface form Disambiguated ID Type / Status
Subject Emmet Dalton E312018 entity
Predicate familyName P18 FINISHED
Object Dalton E212418 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: Dalton | Statement: [Emmet Dalton, familyName, Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalton
Context triple: [Emmet Dalton, familyName, Dalton]
  • A. Dalton
    Dalton is a small town in western Massachusetts known historically for its paper mills and as the longtime home of the Crane & Co. currency paper company.
  • B. Dalton
    Dalton is a city in northwest Georgia known for its large carpet and flooring industry, often referred to as the "Carpet Capital of the World."
  • C. Dalton chosen
    Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
  • D. Dalton
    Dalton is a small rural village in the West Lancashire district of Lancashire, England.
  • E. Dalton
    Dalton is a small borough in northeastern Pennsylvania, located within the suburban and rural region of Lackawanna County near Scranton.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b3d72c8190b69ae56435a954fa completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2930c6c8190adf17103a6cb71b9 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:08 p.m.