Triple
T3712180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infanta Elena, Duchess of Lugo |
E81440
|
entity |
| Predicate | endTime (marriage to Jaime de Marichalar) |
P50959
|
FINISHED |
| Object | 2010-01-21 |
—
|
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: 2010-01-21 | Statement: [Infanta Elena, Duchess of Lugo, endTime (marriage to Jaime de Marichalar), 2010-01-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (marriage to Jaime de Marichalar) Context triple: [Infanta Elena, Duchess of Lugo, endTime (marriage to Jaime de Marichalar), 2010-01-21]
-
A.
endTime (marriage to Joséphine)
Indicates the point in time at which the marriage to Joséphine legally or formally ended.
-
B.
endTime (marriage to Nero)
Indicates the point in time at which the marriage to Nero concluded or was terminated.
-
C.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
D.
endTime (marriage to Enid Blyton)
Indicates the date and time at which the marriage to Enid Blyton ended.
-
E.
endTime (spouse Carlita Kilpatrick)
Indicates the time at which the marital relationship with spouse Carlita Kilpatrick concluded.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc58617bc8190bb712d1c90394215 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:33 p.m.