Triple
T16707100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Clarendon |
E405997
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Villiers |
E246028
|
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: Villiers | Statement: [Lord Clarendon, familyName, Villiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villiers Context triple: [Lord Clarendon, familyName, Villiers]
-
A.
Villiers
Villiers is a small town in South Africa’s Free State province, situated on the banks of the Vaal River and known as an access point to the nearby Vaal Dam.
-
B.
Villiers
chosen
Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
-
C.
Villiers
Villiers is a Paris Métro station in the 8th and 17th arrondissements, serving as an interchange between lines 2 and 3.
-
D.
Villiers-Adam
Villiers-Adam is a small commune in the Val-d'Oise department in northern France, known for its rural character and proximity to the forests of the Île-de-France region.
-
E.
Fytche
Fytche is an English surname historically associated with several notable figures and families in Britain.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833695908190afd4d2ece233be00 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.