Triple
T37847715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolo Malatesta |
E943949
|
entity |
| Predicate | partnerInCrimeAccordingToTradition |
P21638
|
FINISHED |
| Object | Francesca da Rimini |
—
|
NE NERFINISHED |
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: Francesca da Rimini | Statement: [Paolo Malatesta, partnerInCrimeAccordingToTradition, Francesca da Rimini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInCrimeAccordingToTradition Context triple: [Paolo Malatesta, partnerInCrimeAccordingToTradition, Francesca da Rimini]
-
A.
partnerInCrime
chosen
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
-
B.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
C.
convictedAlongside
Indicates that one entity was convicted in a legal proceeding together with another entity as co-defendants in the same case or trial.
-
D.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
E.
partnerInCultPair
Indicates that two entities are partners together within the same cult pair relationship.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.