Triple
T13313221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tous les matins du monde |
E317123
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
|
E1033295
|
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: Caméra One | Statement: [Tous les matins du monde, productionCompany, Caméra One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caméra One Context triple: [Tous les matins du monde, productionCompany, Caméra One]
-
A.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
B.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
C.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
D.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
E.
Camera 2
Camera 2 is one of the imaging and spectroscopic modules within the Hubble Space Telescope’s Near Infrared Camera and Multi-Object Spectrometer, designed for observations in the near-infrared spectrum.
- 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: Caméra One Triple: [Tous les matins du monde, productionCompany, Caméra One]
Generated description
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caméra One Target entity description: Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
A.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
B.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
C.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
D.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
E.
Camera 2
Camera 2 is one of the imaging and spectroscopic modules within the Hubble Space Telescope’s Near Infrared Camera and Multi-Object Spectrometer, designed for observations in the near-infrared spectrum.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e7b9a48190a33b04df8ad45ed8 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b868608190971c38f26b61cf28 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:29 p.m.