Triple
T28772854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Antonius (orator) |
E726457
|
entity |
| Predicate | styleOfOratory |
P35511
|
FINISHED |
| Object | practical and effective forensic 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: practical and effective forensic speaking | Statement: [Marcus Antonius (orator), styleOfOratory, practical and effective forensic speaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfOratory Context triple: [Marcus Antonius (orator), styleOfOratory, practical and effective forensic speaking]
-
A.
rhetoricalStyle
chosen
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
B.
hasOratory
Indicates that one entity possesses or is characterized by skill or ability in public speaking or formal speech.
-
C.
monologueStyle
Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
-
D.
commentarialStyle
Indicates the manner or approach taken in writing or presenting commentary on a text, event, or subject.
-
E.
toneOfEulogy
Indicates the emotional tone or mood conveyed by a eulogy.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 6:16 a.m.