Triple
T3232626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livia Orestilla |
E67776
|
entity |
| Predicate | marriageToCaligulaCharacterization |
P21095
|
FINISHED |
| Object | scandalous |
—
|
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: scandalous | Statement: [Livia Orestilla, marriageToCaligulaCharacterization, scandalous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToCaligulaCharacterization Context triple: [Livia Orestilla, marriageToCaligulaCharacterization, scandalous]
-
A.
marriageCharacterization
chosen
Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
-
B.
marriageToIvanaTrumpCharacterization
Indicates a characterization or evaluative description of the subject’s marriage to Ivana Trump.
-
C.
hasMarriagePlot
Indicates that the work’s narrative centrally involves courtship, romantic relationships, or the progression toward marriage as a key plot element.
-
D.
associatedWithEmperor
Indicates a relationship in which an entity has a connection, link, or affiliation with an emperor, such as through service, influence, kinship, or shared authority.
-
E.
marriedToNotablePerson
Indicates that a person is legally married to another individual who is widely recognized or notable.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.