Triple
T1028623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido |
E22196
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Vito |
E114360
|
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: Vito | Statement: [Guido, hasCognate, Vito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vito Context triple: [Guido, hasCognate, Vito]
-
A.
Tito Burns
Tito Burns was a British accordionist-turned-music manager and agent who became a prominent figure in the UK entertainment industry from the 1950s onward.
-
B.
Vincenzo
chosen
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
C.
Salvatore Totino
Salvatore Totino is an American cinematographer known for his work on major Hollywood films, including collaborations with director Ron Howard on projects such as "The Da Vinci Code."
-
D.
Balducci
Balducci is a member of the group or organization known as The Network.
-
E.
Marcello
Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f84c888190b5b9e44c7edb508f |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429675bc8190b2467ac86c41c3b5 |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:41 p.m.