Triple

T9573080
Position Surface form Disambiguated ID Type / Status
Subject Turnor E230973 entity
Predicate hasSpellingVariant P457 FINISHED
Object Tournor
Tournor is a surname variant of "Turnor," typically of English origin.
E807710 NE FINISHED

How this triple was built (4 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: Tournor | Statement: [Turnor, hasSpellingVariant, Tournor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tournor
Context triple: [Turnor, hasSpellingVariant, Tournor]
  • A. 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.
  • B. Titsey
    Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
  • C. Pilfold
    Pilfold is an English surname historically associated with the family of Elizabeth Pilfold Shelley, the mother of poet Percy Bysshe Shelley.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Tannay
    Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tournor
Triple: [Turnor, hasSpellingVariant, Tournor]
Generated description
Tournor is a surname variant of "Turnor," typically of English origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tournor
Target entity description: Tournor is a surname variant of "Turnor," typically of English origin.
  • A. 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.
  • B. Titsey
    Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
  • C. Pilfold
    Pilfold is an English surname historically associated with the family of Elizabeth Pilfold Shelley, the mother of poet Percy Bysshe Shelley.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Tannay
    Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
  • F. None of above. chosen

Provenance (5 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998d79cc8190b94e5953915a5fa4 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152bf5c548190b6c33cc49e418ef7 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d15404e9508190b5d9f1239586ab9a completed April 4, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69d1546a503c81908edc9588adabc172 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:04 p.m.