Triple
T31916882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scribonia |
E814855
|
entity |
| Predicate | marriageOrderToAugustus |
P190065
|
FINISHED |
| Object | second wife of Augustus |
—
|
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: second wife of Augustus | Statement: [Scribonia, marriageOrderToAugustus, second wife of Augustus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderToAugustus Context triple: [Scribonia, marriageOrderToAugustus, second wife of Augustus]
-
A.
marriageOrderWithJuliaTheElder
Indicates the sequence or arrangement of marriages involving Julia the Elder in relation to other spouses or partners.
-
B.
marriageOrderWithBuzzAldrin
Indicates the sequence or order in which an entity was married relative to Buzz Aldrin’s marriages.
-
C.
marriageOrderWithCatherineParr
Indicates the sequence or relative ordering of marriages involving Catherine Parr in relation to another spouse or marriage event.
-
D.
marriageOrderWithDorisDay
Indicates the ordinal position in which someone married Doris Day relative to her other spouses.
-
E.
marriageOrderToBelaLugosi
Indicates the sequence or ranking of a person’s marriage in relation to their marriage to Bela Lugosi.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 1, 2026, 12:02 a.m.