Triple
T10216530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Godolphin, 1st Earl of Godolphin |
E242456
|
entity |
| Predicate | createdEarl |
P55816
|
FINISHED |
| Object | 1706 |
—
|
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: 1706 | Statement: [William Godolphin, 1st Earl of Godolphin, createdEarl, 1706]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdEarl Context triple: [William Godolphin, 1st Earl of Godolphin, createdEarl, 1706]
-
A.
createdEarlBy
Indicates that an entity was granted or established as an earl by a specific creator or authority.
-
B.
earlTitleCreatedFor
chosen
Indicates that an earl title was specifically established or granted for a particular person or entity.
-
C.
createdDukeBy
Indicates that an entity was made a duke (granted the ducal title or rank) by another specific entity.
-
D.
createdDukeOn
Indicates that an entity established or founded the title or position of Duke on a specific date or occasion.
-
E.
createdEarlOfNottinghamDate
Indicates the date on which the title of Earl of Nottingham was created or conferred.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:06 a.m.