Triple
T31220715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeschines |
E796001
|
entity |
| Predicate | causeOfEndOfPoliticalCareer |
P96428
|
FINISHED |
| Object | loss of case Against Ctesiphon |
—
|
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: loss of case Against Ctesiphon | Statement: [Aeschines, causeOfEndOfPoliticalCareer, loss of case Against Ctesiphon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfEndOfPoliticalCareer Context triple: [Aeschines, causeOfEndOfPoliticalCareer, loss of case Against Ctesiphon]
-
A.
causeOfEndOfPresidency
Indicates the event, action, or circumstance that directly led to the termination of a person’s presidency.
-
B.
termLimitReasonForLeavingOffice
Indicates that an officeholder left their position specifically because they reached a legally or formally imposed term limit.
-
C.
causeOfRemovalFromOffice
chosen
Indicates the reason or factor that led to an individual being removed from an official position or office.
-
D.
causeOfEndOfMilitaryCareer
Indicates the event, condition, or factor that brought about the termination of an entity’s military career.
-
E.
methodOfRemovalFromOffice
Indicates the specific process or procedure by which an officeholder is removed from their position.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 9:10 p.m.