Triple
T19397459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas M. Milano |
E485228
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lin Milano |
—
|
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: Lin Milano | Statement: [Thomas M. Milano, spouse, Lin Milano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lin Milano Context triple: [Thomas M. Milano, spouse, Lin Milano]
-
A.
Lin Milano
chosen
Lin Milano is the mother of American actress and activist Alyssa Milano.
-
B.
Dan Milano
Dan Milano is an American voice actor, writer, and puppeteer best known for his work on animated and comedy series such as Robot Chicken and Greg the Bunny.
-
C.
Lorenzo Mieli
Lorenzo Mieli is an Italian film and television producer known for backing acclaimed auteur-driven projects and international festival titles.
-
D.
Andrea Villani
Andrea Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known biographical details are not clearly established.
-
E.
Roberto Marino
Roberto Marino is a Brazilian former racing driver who competed in international motorsport, including Formula 3000, during the 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.