Triple
T11634924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pompeia Paulina |
E276491
|
entity |
| Predicate | marriageBefore |
P100116
|
FINISHED |
| Object | death of Seneca the Younger in 65 CE |
—
|
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: death of Seneca the Younger in 65 CE | Statement: [Pompeia Paulina, marriageBefore, death of Seneca the Younger in 65 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageBefore Context triple: [Pompeia Paulina, marriageBefore, death of Seneca the Younger in 65 CE]
-
A.
marriedBefore
Indicates that one entity entered into a marriage at an earlier time than the other entity.
-
B.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
-
C.
ageAtMarriage
Indicates the age a person was when they got married.
-
D.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
E.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25c0b00819095898d2b2445ecfb |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.