Triple
T19872295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One with a Bullet |
E477547
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Lydie Denier
Lydie Denier is a French actress and model best known for her roles in film and television, including appearances in action and adventure productions.
|
E1404928
|
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: Lydie Denier | Statement: [Number One with a Bullet, hasCastMember, Lydie Denier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydie Denier Context triple: [Number One with a Bullet, hasCastMember, Lydie Denier]
-
A.
Nathalie Durand
Nathalie Durand is a French cinematographer known for her work on feature films such as the romantic drama "Le Week-End."
-
B.
Pauline Daumont
Pauline Daumont is the creator whose work inspired the character or story known as "Redhead."
-
C.
Jeanne Olivier
Jeanne Olivier is known as the former spouse of American actor and author Christopher Lawford, a member of the Kennedy family.
-
D.
Jean Danet
Jean Danet was a French actor known for his roles in mid-20th-century cinema and theater.
-
E.
Jeanne Gobillard
Jeanne Gobillard was a French woman known primarily as the wife of poet and essayist Paul Valéry and as a member of a family connected to the Impressionist art world.
- 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: Lydie Denier Triple: [Number One with a Bullet, hasCastMember, Lydie Denier]
Generated description
Lydie Denier is a French actress and model best known for her roles in film and television, including appearances in action and adventure productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lydie Denier Target entity description: Lydie Denier is a French actress and model best known for her roles in film and television, including appearances in action and adventure productions.
-
A.
Nathalie Durand
Nathalie Durand is a French cinematographer known for her work on feature films such as the romantic drama "Le Week-End."
-
B.
Pauline Daumont
Pauline Daumont is the creator whose work inspired the character or story known as "Redhead."
-
C.
Jeanne Olivier
Jeanne Olivier is known as the former spouse of American actor and author Christopher Lawford, a member of the Kennedy family.
-
D.
Jean Danet
Jean Danet was a French actor known for his roles in mid-20th-century cinema and theater.
-
E.
Jeanne Gobillard
Jeanne Gobillard was a French woman known primarily as the wife of poet and essayist Paul Valéry and as a member of a family connected to the Impressionist art world.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804ecd3f081908e67b1830f5f3d80 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805ed58f881909c94d5d9f8ecf631 |
completed | May 16, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080668c5dc81909d93f167c6600924 |
completed | May 16, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:51 p.m.