Triple
T5598940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Arthur, Duke of Brittany |
E147066
|
entity |
| Predicate | reignAsDukeOfBrittanyStart |
P64973
|
FINISHED |
| Object | 1201 |
—
|
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: 1201 | Statement: [Prince Arthur, Duke of Brittany, reignAsDukeOfBrittanyStart, 1201]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDukeOfBrittanyStart Context triple: [Prince Arthur, Duke of Brittany, reignAsDukeOfBrittanyStart, 1201]
-
A.
reignAsKingOfAquitaineStart
Indicates the time at which an individual begins their period of ruling as king over Aquitaine.
-
B.
reignAsDauphinFrom
Indicates the period during which a person held and exercised the title and role of Dauphin, starting from a specified time.
-
C.
reignAsDukeOfNassauStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Nassau.
-
D.
reignAsDukeOfYorkStart
Indicates the time at which an individual begins their tenure holding the title and authority of Duke of York.
-
E.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
- 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.