Triple
T3750989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Paul Rabaut Saint-Étienne |
E81327
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rabaut
Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
|
E383391
|
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: Rabaut | Statement: [Jean-Paul Rabaut Saint-Étienne, familyName, Rabaut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rabaut Context triple: [Jean-Paul Rabaut Saint-Étienne, familyName, Rabaut]
-
A.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
B.
Beale Farange
Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
-
C.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
D.
Hilaire
Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
-
E.
Sylvanus
Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
- 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: Rabaut Triple: [Jean-Paul Rabaut Saint-Étienne, familyName, Rabaut]
Generated description
Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rabaut Target entity description: Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
-
A.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
B.
Beale Farange
Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
-
C.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
D.
Hilaire
Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
-
E.
Sylvanus
Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb909bb4819088559f90d718f72f |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db34aa5c8190ba3f22ee0f1f4208 |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dbded2c8819084c26ae2ec1c19b3 |
completed | March 14, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc9cdfc48190be9ff5c501c9efcb |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:35 p.m.