Triple
T8393856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Antonia |
E198005
|
entity |
| Predicate | secondHusbandInstanceOf |
P81984
|
FINISHED |
| Object | Roman senator |
—
|
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: Roman senator | Statement: [Julia Antonia, secondHusbandInstanceOf, Roman senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondHusbandInstanceOf Context triple: [Julia Antonia, secondHusbandInstanceOf, Roman senator]
-
A.
secondWifeOf
Indicates that one person is the second spouse (by order of marriage) of another person.
-
B.
givenToSecondHusbandBy
Indicates that something was transferred or bestowed upon a person by their second husband.
-
C.
takenFromSecondHusbandBy
Indicates that something or someone was removed, seized, or otherwise taken away from a second husband by another party.
-
D.
thirdHusband
Indicates that one person is the third man to be married to another person.
-
E.
spouseInstanceOf
Indicates that one entity is the specific spouse (marriage partner) instance of another entity.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8185ef60819085cfa7491d35834a |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:03 p.m.