Triple
T30704540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Dumbarton |
E781714
|
entity |
| Predicate | monarchWhoGrantedSecondCreation |
P33027
|
FINISHED |
| Object | Elizabeth II |
—
|
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: Elizabeth II | Statement: [Earl of Dumbarton, monarchWhoGrantedSecondCreation, Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchWhoGrantedSecondCreation Context triple: [Earl of Dumbarton, monarchWhoGrantedSecondCreation, Elizabeth II]
-
A.
secondCreationMonarch
Indicates that an entity serves as the ruling monarch during the second creation or second foundational phase of a realm, order, or system.
-
B.
laterCreationMonarch
Indicates that one monarch’s creation, accession, or establishment occurred at a later time than that of another monarch.
-
C.
monarchWhoGrantedTitle
chosen
Indicates the monarch who conferred or bestowed a particular title upon an individual.
-
D.
monarchOnCreation
Indicates that an individual became the reigning monarch at the moment of a political entity’s creation or establishment.
-
E.
secondMonarch
Indicates that one entity is the second monarch (in chronological order of reign) in relation to another specified realm, dynasty, or succession context.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 8:35 p.m.