Triple

T21578545
Position Surface form Disambiguated ID Type / Status
Subject Thicknesse-Touchet family E532462 entity
Predicate familyNameVariant P16885 FINISHED
Object Thicknesse
Thicknesse is an English surname historically associated with the aristocratic Thicknesse-Touchet family.
 E1491218 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: Thicknesse | Statement: [Thicknesse-Touchet family, familyNameVariant, Thicknesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thicknesse
Context triple: [Thicknesse-Touchet family, familyNameVariant, Thicknesse]
  • A. Longuesse
    Longuesse is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Lentegeur
    Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
  • C. Thourout
    Thourout is a town in West Flanders, Belgium, historically notable as the place where the French geographer and anarchist Élisée Reclus died.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Dikte
    Dikte is a mountainous region on the island of Crete in Greece, traditionally associated with the mythological birthplace of Zeus.
  • 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: Thicknesse
Triple: [Thicknesse-Touchet family, familyNameVariant, Thicknesse]
Generated description
Thicknesse is an English surname historically associated with the aristocratic Thicknesse-Touchet family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thicknesse
Target entity description: Thicknesse is an English surname historically associated with the aristocratic Thicknesse-Touchet family.
  • A. Longuesse
    Longuesse is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Lentegeur
    Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
  • C. Thourout
    Thourout is a town in West Flanders, Belgium, historically notable as the place where the French geographer and anarchist Élisée Reclus died.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Dikte
    Dikte is a mountainous region on the island of Crete in Greece, traditionally associated with the mythological birthplace of Zeus.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5ac1048190aa45d7d3c780b5c9 completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f67889bc81908d640cbe0bc4b121 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f70d94308190b1c8f11e0a93b883 completed May 17, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09f7f91058819081d7230042ec080c completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:31 p.m.