Triple
T19134681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesca da Rimini |
E468405
|
entity |
| Predicate | punishedAmong |
P134556
|
FINISHED |
| Object | the lustful |
—
|
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: the lustful | Statement: [Francesca da Rimini, punishedAmong, the lustful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: punishedAmong Context triple: [Francesca da Rimini, punishedAmong, the lustful]
-
A.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
B.
punish
Indicates imposing a penalty or negative consequence on an entity in response to its perceived wrongdoing or rule violation.
-
C.
someMembersPunishedWith
Indicates that at least one member of a group is subjected to a specified form of punishment.
-
D.
punishmentOfPeople
Indicates that a person or group is subjected to a punitive action or sanction by another entity or authority.
-
E.
punishedGenerationOf
Indicates that one entity imposed a punitive consequence on another entity or group, typically as a result of the latter’s actions or behavior.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ec4c848190af450bf5bf8db5e7 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.