Triple
T294509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1924 Summer Olympics |
E6063
|
entity |
| Predicate | olympicOathBy |
P9420
|
FINISHED |
| Object |
Gaston Vidal
Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
|
E44855
|
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: Gaston Vidal | Statement: [1924 Summer Olympics, olympicOathBy, Gaston Vidal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaston Vidal Context triple: [1924 Summer Olympics, olympicOathBy, Gaston Vidal]
-
A.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
B.
Émile Nouguier
Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
-
C.
Jean-Luc Vaillant
Jean-Luc Vaillant is a French software engineer and entrepreneur best known as a co-founder and former chief technology officer of LinkedIn.
-
D.
Charles Léon
Charles Léon was the illegitimate son of Napoleon Bonaparte and a French servant, known primarily for his connection to the emperor.
-
E.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
- 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: Gaston Vidal Triple: [1924 Summer Olympics, olympicOathBy, Gaston Vidal]
Generated description
Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaston Vidal Target entity description: Gaston Vidal was a French sports official and politician known for delivering the Olympic Oath at the 1924 Summer Olympics in Paris.
-
A.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
B.
Émile Nouguier
Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
-
C.
Jean-Luc Vaillant
Jean-Luc Vaillant is a French software engineer and entrepreneur best known as a co-founder and former chief technology officer of LinkedIn.
-
D.
Charles Léon
Charles Léon was the illegitimate son of Napoleon Bonaparte and a French servant, known primarily for his connection to the emperor.
-
E.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee002dd0819080f0841eb9107ee3 |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd2a946881909c7a53f3c712e0e3 |
completed | March 1, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a3de184c4c8190a9d6c21967618efc |
completed | March 1, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3df0cc8708190991731415d28d96b |
completed | March 1, 2026, 6:39 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.