Triple

T15576242
Position Surface form Disambiguated ID Type / Status
Subject Stella Gonet E374375 entity
Predicate familyName P18 FINISHED
Object Gonet E374375 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: Gonet | Statement: [Stella Gonet, familyName, Gonet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonet
Context triple: [Stella Gonet, familyName, Gonet]
  • A. Gonet chosen
    Gonet is a surname most notably associated with Scottish actress Stella Gonet.
  • B. Heton
    Heton is an alternative spelling of the English surname Heaton, which is derived from various place names meaning "high town" or "farm on a hill."
  • C. Ghezo
    Ghezo was a 19th-century king of the West African Kingdom of Dahomey, known for his military campaigns, political reforms, and association with the famed Dahomey Amazons.
  • D. Haditch
    Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
  • E. Ghia
    Ghia is an Italian automotive design and coachbuilding firm renowned for its influential car designs and collaborations with major manufacturers throughout the 20th century.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4978ec8190a57de5d9a2ec6653 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.