Triple
T14887132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan of Navarre |
E359655
|
entity |
| Predicate | startTime (as Duchess of Brittany) |
P116205
|
FINISHED |
| Object | 1386 |
—
|
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: 1386 | Statement: [Joan of Navarre, startTime (as Duchess of Brittany), 1386]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (as Duchess of Brittany) Context triple: [Joan of Navarre, startTime (as Duchess of Brittany), 1386]
-
A.
startTimeAsDuchessOfCourland
Indicates the point in time when an individual began holding the position or title of Duchess of Courland.
-
B.
reignAsDukeOfBrittanyStart
Indicates the point in time when an individual begins their tenure or rule as the Duke of Brittany.
-
C.
reignAsCountessConsortStart
Indicates the date or time when an individual began serving as a countess consort.
-
D.
startTimeAsFirstLadyOfFrance
Indicates the date and time when an individual began serving as the First Lady of France.
-
E.
startTime (Duke of Bavaria)
Indicates the point in time at which the person began holding the title or office of Duke of Bavaria.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4c76e481909c0aa8d1a978e8d5 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 2:07 a.m.