Triple
T4293862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luchino Visconti |
E99659
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Alain Delon |
E235453
|
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: Alain Delon | Statement: [Luchino Visconti, workedWith, Alain Delon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alain Delon Context triple: [Luchino Visconti, workedWith, Alain Delon]
-
A.
Alain Delon
chosen
Alain Delon is a renowned French actor and cultural icon, celebrated for his roles in classic European cinema and his charismatic, brooding screen presence.
-
B.
Louis Jourdan
Louis Jourdan was a French film and television actor best known for his suave, sophisticated roles in Hollywood productions such as "Gigi" and "Octopussy."
-
C.
Jean Marais
Jean Marais was a renowned French actor, director, and sculptor best known for his collaborations with filmmaker Jean Cocteau and his roles in classic French cinema.
-
D.
Belmondo
Belmondo is an Italian surname notably borne by Olympic champion cross-country skier Stefania Belmondo.
-
E.
Joseph Noiret
Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35083f87c8190a3d3b323e76ab575 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c73d47448190a844bc13eae84a54 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.