Triple
T37847714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolo Malatesta |
E943949
|
entity |
| Predicate | afterlifeLocationInLiterature |
P185284
|
FINISHED |
| Object | Second circle of Hell (Inferno) |
—
|
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: Second circle of Hell (Inferno) | Statement: [Paolo Malatesta, afterlifeLocationInLiterature, Second circle of Hell (Inferno)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterlifeLocationInLiterature Context triple: [Paolo Malatesta, afterlifeLocationInLiterature, Second circle of Hell (Inferno)]
-
A.
deathInFiction
Indicates that an entity’s death occurs within a fictional work or narrative rather than in real life.
-
B.
eschatologicalLocation
Indicates the ultimate or final spiritual/afterlife state or place associated with an entity in an eschatological framework.
-
C.
afterlife
Indicates a relationship where an entity exists or experiences a state following physical death or the end of mortal life.
-
D.
associatedAfterlife
Indicates a relationship where an entity is linked to, or characterized by, a particular concept, realm, or state of existence after death.
-
E.
visitsLocationInFiction
chosen
Indicates that, within a fictional work, one entity (typically a character) goes to or is present at a particular location.
- 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:19 p.m.