Triple
T15721968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleonore of Austria |
E381116
|
entity |
| Predicate | startTime (queen consort of France) |
P28737
|
FINISHED |
| Object | 1530 |
—
|
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: 1530 | Statement: [Eleonore of Austria, startTime (queen consort of France), 1530]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (queen consort of France) Context triple: [Eleonore of Austria, startTime (queen consort of France), 1530]
-
A.
startTime (as Duchess of Brittany)
Indicates the point in time when an individual began serving in the role of Duchess of Brittany.
-
B.
startTimeAsFirstLadyOfFrance
Indicates the date and time when an individual began serving as the First Lady of France.
-
C.
reignAsQueenConsortOfFranceStart
chosen
Indicates the time at which a person began serving as queen consort of France.
-
D.
reignAsQueenOfFranceStart
Indicates the time or event at which an individual begins her tenure as Queen of France.
-
E.
endTimeAsFirstLadyOfFrance
Indicates the date and time when an individual's tenure as First Lady of France comes to an end.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.