Triple
T5598941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Arthur, Duke of Brittany |
E147066
|
entity |
| Predicate | reignAsDukeOfBrittanyEnd |
P64974
|
FINISHED |
| Object | 1203 |
—
|
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: 1203 | Statement: [Prince Arthur, Duke of Brittany, reignAsDukeOfBrittanyEnd, 1203]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDukeOfBrittanyEnd Context triple: [Prince Arthur, Duke of Brittany, reignAsDukeOfBrittanyEnd, 1203]
-
A.
reignAsKingOfAquitaineEnd
Indicates the time or event at which an individual’s reign as king of Aquitaine comes to an end.
-
B.
reignAsDukeOfYorkEnd
Indicates the point in time or event at which an individual’s tenure or rule as Duke of York comes to an end.
-
C.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
-
D.
successorAsDukeOfNormandy
Indicates that one person becomes the next holder of the title Duke of Normandy after another person.
-
E.
reignAsCountessConsortEnd
Indicates the date or point in time when an individual’s tenure as countess consort comes to an end.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d82870819087f9591b5a1021ce |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:38 p.m.