Triple
T34377368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sempronius |
E882324
|
entity |
| Predicate | politicalAlignmentInWork |
P101223
|
FINISHED |
| Object | opponent of Cato |
—
|
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: opponent of Cato | Statement: [Sempronius, politicalAlignmentInWork, opponent of Cato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentInWork Context triple: [Sempronius, politicalAlignmentInWork, opponent of Cato]
-
A.
associatedWithPoliticalAlignment
chosen
Indicates a relationship where an entity is connected to, supports, or is characterized by a particular political ideology, party, or alignment.
-
B.
economicAlignment
Indicates that two or more entities share similar or compatible economic interests, policies, or strategic economic objectives.
-
C.
traditionalPoliticalAlignment
Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
-
D.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
E.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 1, 2026, 1:59 a.m.