Triple
T16889178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Novès |
E421619
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Novès
Novès is a French surname most notably associated with Guy Novès, a prominent former rugby union player and long-serving coach of Stade Toulousain and the French national team.
|
E1238318
|
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: Novès | Statement: [Guy Novès, familyName, Novès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novès Context triple: [Guy Novès, familyName, Novès]
-
A.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
B.
Mollà
Mollà is a Spanish surname most notably borne by Jordi Mollà, a prominent Spanish actor, director, and artist.
-
C.
Moià
Moià is a historic town in central Catalonia, Spain, known for its rural surroundings and role as the administrative center of the Moianès comarca.
-
D.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
E.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
- 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: Novès Triple: [Guy Novès, familyName, Novès]
Generated description
Novès is a French surname most notably associated with Guy Novès, a prominent former rugby union player and long-serving coach of Stade Toulousain and the French national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novès Target entity description: Novès is a French surname most notably associated with Guy Novès, a prominent former rugby union player and long-serving coach of Stade Toulousain and the French national team.
-
A.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
B.
Mollà
Mollà is a Spanish surname most notably borne by Jordi Mollà, a prominent Spanish actor, director, and artist.
-
C.
Moià
Moià is a historic town in central Catalonia, Spain, known for its rural surroundings and role as the administrative center of the Moianès comarca.
-
D.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
E.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc3b5188190ac713b4d4166e961 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2c1eee48190bc906e658d7729a4 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3b4a36c8190804b8616958002fc |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.