Triple
T17217591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopussy |
E417891
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Louis Jourdan |
E255079
|
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: Louis Jourdan | Statement: [Octopussy, starring, Louis Jourdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Jourdan Context triple: [Octopussy, starring, Louis Jourdan]
-
A.
Louis Jourdan
chosen
Louis Jourdan was a French film and television actor best known for his suave, sophisticated roles in Hollywood productions such as "Gigi" and "Octopussy."
-
B.
Claude Brasseur
Claude Brasseur was a prominent French actor known for his versatile performances in film, television, and theater, and as part of a celebrated family of French performers.
-
C.
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.
-
D.
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.
-
E.
Jean-Paul Belmondo
Jean-Paul Belmondo was a charismatic French actor and icon of the French New Wave, renowned for his rebellious screen presence and influential roles in 1960s cinema.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.