Triple
T9215002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martine Franck |
E221218
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object |
Agence Vu
Agence Vu is a renowned French photography agency known for representing influential photojournalists and documentary photographers.
|
E785561
|
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: Agence Vu | Statement: [Martine Franck, workedFor, Agence Vu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agence Vu Context triple: [Martine Franck, workedFor, Agence Vu]
-
A.
Atelier du Midi
Atelier du Midi is the French name for Vincent van Gogh’s “Studio of the South,” his envisioned artistic haven in Arles where he hoped to form a community of painters.
-
B.
Voila
"Voila" is a French-language album by American singer Belinda Carlisle that features her interpretations of classic French pop and chanson songs.
-
C.
Dijon Productions
Dijon Productions was a mid-20th-century American film production company best known for producing the 1958 crime drama "Thunder Road."
-
D.
Studio La Cachette
Studio La Cachette is a French animation studio known for its dynamic, hand-drawn 2D animation and work on high-profile projects and anthologies.
-
E.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
- 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: Agence Vu Triple: [Martine Franck, workedFor, Agence Vu]
Generated description
Agence Vu is a renowned French photography agency known for representing influential photojournalists and documentary photographers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agence Vu Target entity description: Agence Vu is a renowned French photography agency known for representing influential photojournalists and documentary photographers.
-
A.
Atelier du Midi
Atelier du Midi is the French name for Vincent van Gogh’s “Studio of the South,” his envisioned artistic haven in Arles where he hoped to form a community of painters.
-
B.
Voila
"Voila" is a French-language album by American singer Belinda Carlisle that features her interpretations of classic French pop and chanson songs.
-
C.
Dijon Productions
Dijon Productions was a mid-20th-century American film production company best known for producing the 1958 crime drama "Thunder Road."
-
D.
Studio La Cachette
Studio La Cachette is a French animation studio known for its dynamic, hand-drawn 2D animation and work on high-profile projects and anthologies.
-
E.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.