Triple
T8206232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius Caesar |
E191693
|
entity |
| Predicate | wasGroomedAs |
P81494
|
FINISHED |
| Object | successor to Augustus |
—
|
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: successor to Augustus | Statement: [Lucius Caesar, wasGroomedAs, successor to Augustus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasGroomedAs Context triple: [Lucius Caesar, wasGroomedAs, successor to Augustus]
-
A.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
B.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
C.
wasGivenInsteadOfChild
Indicates that one entity was provided or substituted in place of a child that would otherwise have been given.
-
D.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
E.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726a301c8190a4b2d3d184b7e448 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:43 p.m.