Triple
T2223283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Constance Villiers |
E48189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Villiers
Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
|
E246028
|
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: Villiers | Statement: [Lady Constance Villiers, familyName, Villiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villiers Context triple: [Lady Constance Villiers, familyName, Villiers]
-
A.
Swinton
Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
-
B.
Trottier
Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
-
C.
Virage Chatillon
Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
-
D.
Traton
Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
-
E.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
- 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: Villiers Triple: [Lady Constance Villiers, familyName, Villiers]
Generated description
Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villiers Target entity description: Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
-
A.
Swinton
Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
-
B.
Trottier
Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
-
C.
Virage Chatillon
Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
-
D.
Traton
Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
-
E.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03d1df88190950c691a4c246bd1 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6562c9448190b53c068c900bf0bf |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae667dede88190b3d1f8bb8866e19e |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66f12c648190a146de7b2bfdb541 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.