Triple
T17180925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyril Raffaelli |
E416978
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Banlieue 13: Ultimatum |
E1254701
|
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: Banlieue 13: Ultimatum | Statement: [Cyril Raffaelli, notableWork, Banlieue 13: Ultimatum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banlieue 13: Ultimatum Context triple: [Cyril Raffaelli, notableWork, Banlieue 13: Ultimatum]
-
A.
Banlieue 13
chosen
Banlieue 13 is a French action film set in a dystopian Parisian suburb, renowned for its parkour-driven stunts and high-energy fight choreography.
-
B.
La Ville
La Ville is a symbolist drama by French writer Paul Claudel that explores spiritual and social themes through a visionary portrayal of modern urban life.
-
C.
Paris Awakens
Paris Awakens is a French drama film by Olivier Assayas that explores youthful disillusionment and bohemian life in early-1990s Paris.
-
D.
La Cité
La Cité is a central municipal district of Quebec City known for encompassing much of the historic downtown and key cultural, political, and commercial areas.
-
E.
La Cité
La Cité is a French-language public college in Ontario offering a wide range of postsecondary and professional programs.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc1187808190aeaa0d0e6487957e |
completed | April 18, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fca04cc8190a9df230078fbe268 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.