Triple
T21578546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thicknesse-Touchet family |
E532462
|
entity |
| Predicate | familyNameVariant |
P16885
|
FINISHED |
| Object | Touchet |
—
|
NE NERFINISHED |
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: Touchet | Statement: [Thicknesse-Touchet family, familyNameVariant, Touchet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touchet Context triple: [Thicknesse-Touchet family, familyNameVariant, Touchet]
-
A.
Touchet
chosen
Touchet is an English surname historically associated with a noble family, including holders of the title Baron Audley.
-
B.
Nancoury
Nancoury is an alternative name for the Nancowry language, an Austroasiatic language spoken in India’s Nicobar Islands.
-
C.
Roches-l'Évêque
Roches-l'Évêque is a small commune in the Loir-et-Cher department of central France, known for its scenic setting along the Loir River and its historic troglodyte dwellings.
-
D.
Bellême
Bellême is a historic town in northwestern France’s Normandy region, known for its medieval architecture and picturesque setting on the edge of the Perche forest.
-
E.
Conteville
Conteville is a commune in northern France historically linked to Herleva, the mother of William the Conqueror.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 6:31 p.m.