Triple
T22909300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Océan |
E568544
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Niété
Niété is a marine feature or area located within the world’s oceanic waters.
|
E1560069
|
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: Niété | Statement: [Océan, contains, Niété]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niété Context triple: [Océan, contains, Niété]
-
A.
Marina Foïs
Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
-
B.
Jean Lamour
Jean Lamour was an 18th-century French master ironworker and ornamental metal designer renowned for his elaborate wrought-iron gates and balconies in Nancy, France.
-
C.
Anouk Aimée
Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
-
D.
Denise Darcel
Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
-
E.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
- 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: Niété Triple: [Océan, contains, Niété]
Generated description
Niété is a marine feature or area located within the world’s oceanic waters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niété Target entity description: Niété is a marine feature or area located within the world’s oceanic waters.
-
A.
Marina Foïs
Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
-
B.
Jean Lamour
Jean Lamour was an 18th-century French master ironworker and ornamental metal designer renowned for his elaborate wrought-iron gates and balconies in Nancy, France.
-
C.
Anouk Aimée
Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
-
D.
Denise Darcel
Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
-
E.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18072986881909eefb317ced5a145 |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9cfe238819094a5802343d0feec |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc1bd0808190a0a5f8f603308b45 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:42 p.m.