Triple

T13122366
Position Surface form Disambiguated ID Type / Status
Subject Ashton Eaton E311755 entity
Predicate hasGivenName P17 FINISHED
Object Ashton E236180 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: Ashton | Statement: [Ashton Eaton, hasGivenName, Ashton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashton
Context triple: [Ashton Eaton, hasGivenName, Ashton]
  • A. Ashton chosen
    Ashton is a masculine given name of English origin that has become well known through figures such as actor and entrepreneur Ashton Kutcher.
  • B. Ashton
    Ashton is a small village in the town of Cumberland in Providence County, Rhode Island, known for its historic mill district along the Blackstone River.
  • C. Ashton
    Ashton is a small coastal town on Union Island in Saint Vincent and the Grenadines, known as one of the island’s main settlements.
  • D. Ashton
    Ashton is a small village in Cornwall, England, known for its rural character and location within the civil parish of Breage.
  • E. Ashton
    Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
  • 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_69d9819840b881909b76022b4c4dcaed completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e289462c8190b1625a26f019d744 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.