Triple
T20870467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Corbucci |
E513874
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Tomas Milian |
—
|
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: Tomas Milian | Statement: [Sergio Corbucci, workedWith, Tomas Milian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomas Milian Context triple: [Sergio Corbucci, workedWith, Tomas Milian]
-
A.
Tomas Milian
chosen
Tomas Milian was a Cuban-American actor best known for his prolific work in Italian cinema, particularly in Spaghetti Westerns and poliziotteschi crime films.
-
B.
Vincent Ludwig
Vincent Ludwig is the primary villain and wealthy, sophisticated crime boss in the comedy film "The Naked Gun: From the Files of Police Squad!"
-
C.
Belmondo
Belmondo is an Italian surname notably borne by Olympic champion cross-country skier Stefania Belmondo.
-
D.
Lee Van Cleef
Lee Van Cleef was an American actor best known for his sharp-featured, menacing presence in classic Westerns such as "The Good, the Bad and the Ugly" and numerous other films of the genre.
-
E.
Jan van Cleef
Jan van Cleef was a Flemish painter active in the late 17th and early 18th centuries, known for his religious and historical compositions.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.