Triple
T34123736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Villiers |
E875214
|
entity |
| Predicate | hasRoyalFavourite |
P196559
|
FINISHED |
| Object | George Villiers, 1st Duke of Buckingham |
—
|
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: George Villiers, 1st Duke of Buckingham | Statement: [House of Villiers, hasRoyalFavourite, George Villiers, 1st Duke of Buckingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoyalFavourite Context triple: [House of Villiers, hasRoyalFavourite, George Villiers, 1st Duke of Buckingham]
-
A.
hasRoyalConnection
Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
-
B.
hasRoyalHouse
Indicates that an entity is associated with or belongs to a particular royal house or dynasty.
-
C.
hasRoyalStatus
Indicates that an entity possesses a recognized royal rank, title, or status within a monarchy or royal system.
-
D.
hasRoyalArchive
Indicates that an entity maintains or possesses an official royal archive or collection of records associated with royalty.
-
E.
hasRoyalCircle
Indicates that an entity belongs to, is part of, or is associated with a royal or monarch’s inner circle or court.
- F. None of above. chosen
Provenance (4 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:53 a.m.