Triple
T8477330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polus |
E200427
|
entity |
| Predicate | defendsView |
P40990
|
FINISHED |
| Object | rhetoric as a powerful skill |
—
|
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 as a powerful skill | Statement: [Polus, defendsView, rhetoric as a powerful skill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendsView Context triple: [Polus, defendsView, rhetoric as a powerful skill]
-
A.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
B.
defendedAs
Indicates that one entity is presented, argued, or justified as being equivalent to or serving the role of another entity in a defensive or protective context.
-
C.
defendsConcept
chosen
Indicates that one entity actively supports and argues in favor of a particular concept, idea, or theory, often in response to criticism or challenge.
-
D.
defenderIn
Indicates that an entity serves as a defensive agent or protector within a specified context, situation, or domain.
-
E.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51ffab881908448aff899511f2c |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.