Triple
T3232631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livia Orestilla |
E67776
|
entity |
| Predicate | marriageContext |
P45716
|
FINISHED |
| Object | married Caligula after being taken from her husband on their wedding day |
—
|
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: married Caligula after being taken from her husband on their wedding day | Statement: [Livia Orestilla, marriageContext, married Caligula after being taken from her husband on their wedding day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageContext Context triple: [Livia Orestilla, marriageContext, married Caligula after being taken from her husband on their wedding day]
-
A.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
B.
marriageSignificance
Indicates the importance, impact, or meaningfulness that a marriage holds within a given context or for the entities involved.
-
C.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
D.
marriageCharacterization
Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
-
E.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
- 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_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. |
| PDg | Predicate description generation | batch_69ada0f9d5748190a405c89ec8f30264 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.