Triple

T17032049
Position Surface form Disambiguated ID Type / Status
Subject Viscountess Goschen E413222 entity
Predicate associatedWithFamilyName P49952 FINISHED
Object Goschen E413221 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: Goschen | Statement: [Viscountess Goschen, associatedWithFamilyName, Goschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goschen
Context triple: [Viscountess Goschen, associatedWithFamilyName, Goschen]
  • A. Goschen chosen
    Goschen is a British surname most notably associated with the aristocratic Viscounts Goschen, a title in the Peerage of the United Kingdom.
  • B. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • C. Ochterlony
    Ochterlony is a Scottish-origin surname most notably associated with Sir David Ochterlony, a British East India Company officer prominent in early 19th-century India.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Challis
    Challis is an English surname borne by various notable individuals across fields such as cinematography, science, and public service.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d9e7d481909d3d5bd241bd68f1 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed2ad708190a250762997611569 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.