Triple
T15059640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulysses' Gaze |
E379590
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
La Sept Cinéma
La Sept Cinéma is a French film production company known for backing auteur-driven and art-house cinema.
|
E1135912
|
NE FINISHED |
How this triple was built (4 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: La Sept Cinéma | Statement: [Ulysses' Gaze, productionCompany, La Sept Cinéma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Sept Cinéma Context triple: [Ulysses' Gaze, productionCompany, La Sept Cinéma]
-
A.
Gaumont cinemas
Gaumont cinemas is a historic French cinema chain known for operating movie theaters across France and being one of the oldest names in the film exhibition industry.
-
B.
Cinema de Lux
Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
-
C.
Eros Cinema
Eros Cinema is a historic Art Deco movie theater and landmark in Mumbai, India, known for its distinctive architecture and cultural significance.
-
D.
Cité du Cinéma
Cité du Cinéma is a major film studio complex in Saint-Denis, near Paris, founded by director Luc Besson and used for large-scale international film productions.
-
E.
Beaubien Cinema
Beaubien Cinema is a neighborhood movie theater in Montreal known for showcasing independent, art-house, and local films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: La Sept Cinéma Triple: [Ulysses' Gaze, productionCompany, La Sept Cinéma]
Generated description
La Sept Cinéma is a French film production company known for backing auteur-driven and art-house cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Sept Cinéma Target entity description: La Sept Cinéma is a French film production company known for backing auteur-driven and art-house cinema.
-
A.
Gaumont cinemas
Gaumont cinemas is a historic French cinema chain known for operating movie theaters across France and being one of the oldest names in the film exhibition industry.
-
B.
Cinema de Lux
Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
-
C.
Eros Cinema
Eros Cinema is a historic Art Deco movie theater and landmark in Mumbai, India, known for its distinctive architecture and cultural significance.
-
D.
Cité du Cinéma
Cité du Cinéma is a major film studio complex in Saint-Denis, near Paris, founded by director Luc Besson and used for large-scale international film productions.
-
E.
Beaubien Cinema
Beaubien Cinema is a neighborhood movie theater in Montreal known for showcasing independent, art-house, and local films.
- F. None of above. chosen
Provenance (5 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea9c0ad748190989920efe418001c |
completed | May 9, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa2fbafc8190b592d89b07b49765 |
completed | May 9, 2026, 3:29 a.m. |
Created at: April 10, 2026, 3:01 a.m.