Triple
T19981914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volumnia |
E493835
|
entity |
| Predicate | persuadesTo |
P125156
|
FINISHED |
| Object | spare Rome |
—
|
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: spare Rome | Statement: [Volumnia, persuadesTo, spare Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: persuadesTo Context triple: [Volumnia, persuadesTo, spare Rome]
-
A.
aimsToPersuade
chosen
Indicates an intentional effort by one entity to influence or change another entity’s beliefs, attitudes, or decisions.
-
B.
persuadedToLead
Indicates that one entity successfully convinced another entity to take on a leadership role or position.
-
C.
seeksToInfluence
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
-
D.
exhortedTo
Indicates that one entity strongly urged, encouraged, or pressured another entity to perform a particular action or adopt a certain course of behavior.
-
E.
promotes
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:28 p.m.