Triple
T12992011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante Spinotti |
E321927
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dante |
E896910
|
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: Dante | Statement: [Dante Spinotti, givenName, Dante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dante Context triple: [Dante Spinotti, givenName, Dante]
-
A.
Dante
Dante Fascell was a long-serving American Democratic politician from Florida who represented the Miami area in the U.S. House of Representatives and played a key role in foreign affairs legislation.
-
B.
Dante
chosen
Dante is an acclaimed Italian production designer and art director renowned for his work on numerous major films, including collaborations with directors like Federico Fellini and Martin Scorsese.
-
C.
Dante
Dante is the loyal, goofy Xoloitzcuintli dog who accompanies Miguel on his journey through the Land of the Dead in Pixar’s animated film "Coco."
-
D.
Dante
Dante is a character from the television series "The Wire," known as Omar Little’s boyfriend and a member of his stickup crew in Baltimore’s criminal underworld.
-
E.
Dante
"Dante" is a 1960s American television series starring Howard Duff as a suave nightclub owner who frequently becomes entangled in crime and intrigue.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.