Triple
T12855318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Corso |
E307435
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Corso |
E307435
|
NE 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: Corso | Statement: [Gregory Corso, familyName, Corso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corso Context triple: [Gregory Corso, familyName, Corso]
-
A.
Corso
chosen
Corso is an Italian surname most notably associated with Beat Generation poet Gregory Corso.
-
B.
Corso Rinascimento
Corso Rinascimento is a prominent central street in Rome, Italy, known for its Renaissance-era architecture and proximity to major historic sites and government buildings.
-
C.
Porta Senese
Porta Senese is a historic city gate in the coastal town of Porto Ercole, Italy, marking one of the traditional entrances through its old defensive walls.
-
D.
Vicoli
Vicoli is a small Italian municipality located in the Abruzzo region, known for its rural character and traditional central Italian village atmosphere.
-
E.
Rivoli
Rivoli is a town in the Piedmont region of northern Italy, near Turin, known for its historic castle and strategic location.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970231ce48190a4eabc4b8c24a3ff |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba9a53c81908e9ed120f6cb94af |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:37 p.m.