Triple
T8393870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Antonia |
E198005
|
entity |
| Predicate | politicalAlignmentViaFamily |
P34215
|
FINISHED |
| Object | supporters of Julius Caesar |
—
|
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: supporters of Julius Caesar | Statement: [Julia Antonia, politicalAlignmentViaFamily, supporters of Julius Caesar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentViaFamily Context triple: [Julia Antonia, politicalAlignmentViaFamily, supporters of Julius Caesar]
-
A.
hasPoliticalFamily
Indicates that an entity is related by family ties to another entity involved in politics or holding political office.
-
B.
hasLongtimePoliticalFamily
Indicates that an entity has close family members who have been involved in politics for an extended period of time.
-
C.
politicalLine
chosen
Indicates that one entity’s political views, ideology, or affiliation are aligned with or follow the same general stance as another entity.
-
D.
spousePoliticalAlignment
Indicates that two individuals are spouses and specifies the political alignment or affiliation associated with that spousal relationship.
-
E.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
- 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_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. |
Created at: March 30, 2026, 6:03 p.m.