Triple
T14600411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men of Honor |
E342689
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michele Imperato |
E909797
|
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: Michele Imperato | Statement: [Men of Honor, producer, Michele Imperato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Imperato Context triple: [Men of Honor, producer, Michele Imperato]
-
A.
Michele Imperato
chosen
Michele Imperato is a film producer best known for her work on the 1996 family adventure movie "Flipper."
-
B.
Michele Imperato Stabile
Michele Imperato Stabile is a film producer known for her work on major studio family and animated features, including the live-action/CGI hybrid comedy "Hop."
-
C.
Saverio Vallone
Saverio Vallone is an Italian actor and the son of renowned film star Raf Vallone.
-
D.
Michele Russo
Michele Russo is known as the spouse of American film director Anthony Russo, one half of the Russo brothers filmmaking duo.
-
E.
Luigi Traglia
Luigi Traglia was an Italian cardinal of the Roman Catholic Church who held several prominent curial and pastoral roles in the mid-20th century.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 1:25 a.m.