Triple
T11987990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Cavendish, 6th Duke of Devonshire |
E285330
|
entity |
| Predicate | dateOfInvestitureAsKnightOfTheGarter |
P12114
|
FINISHED |
| Object | 1827 |
—
|
LITERAL 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: 1827 | Statement: [William Cavendish, 6th Duke of Devonshire, dateOfInvestitureAsKnightOfTheGarter, 1827]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfInvestitureAsKnightOfTheGarter Context triple: [William Cavendish, 6th Duke of Devonshire, dateOfInvestitureAsKnightOfTheGarter, 1827]
-
A.
dateOfKnighthood
chosen
Indicates the specific date on which an individual was formally granted knighthood.
-
B.
wasKnightedOn
Indicates that an entity received a knighthood on a specific date or occasion.
-
C.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
-
D.
dateOfInvestitureAsPrinceOfWales
Indicates the date on which an individual was formally invested with the title and role of Prince of Wales.
-
E.
dateOfBaronetcy
Indicates the date on which a person was granted or created a baronetcy title.
- F. None of above.
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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.