Triple
T29135148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phaedrus |
E738493
|
entity |
| Predicate | secondPartTopic |
P193119
|
FINISHED |
| Object | rhetoric and the art of speaking |
—
|
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: rhetoric and the art of speaking | Statement: [Phaedrus, secondPartTopic, rhetoric and the art of speaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartTopic Context triple: [Phaedrus, secondPartTopic, rhetoric and the art of speaking]
-
A.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
B.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
C.
secondPartFocus
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
-
D.
secondPartSeries
Indicates that one entity is the second installment or part in a series that includes the other entity.
-
E.
secondPartBasedOn
Indicates that the second part of something is determined, derived, or constructed based on the first part.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: April 28, 2026, 11:33 a.m.