Triple
T15351519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paléo Festival Nyon |
E367063
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Daniel Rossellat
Daniel Rossellat is a Swiss cultural entrepreneur and politician best known for creating and long directing the major open-air music event Paléo Festival Nyon.
|
E1152427
|
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: Daniel Rossellat | Statement: [Paléo Festival Nyon, founder, Daniel Rossellat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Rossellat Context triple: [Paléo Festival Nyon, founder, Daniel Rossellat]
-
A.
Daniel Romalotti
Daniel Romalotti is a fictional character from the soap opera "The Young and the Restless," known for his complex family ties and tumultuous romantic relationships.
-
B.
Michael Salort
Michael Salort is an author best known for co-writing the book "Modelland."
-
C.
Daniel Grao
Daniel Grao is a Spanish film, television, and stage actor known for his roles in works by director Pedro Almodóvar and various acclaimed Spanish TV series.
-
D.
Frank Rossitano
Frank Rossitano is a slovenly, eccentric comedy writer on the TV show "30 Rock," known for his trucker hats and juvenile sense of humor.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- 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: Daniel Rossellat Triple: [Paléo Festival Nyon, founder, Daniel Rossellat]
Generated description
Daniel Rossellat is a Swiss cultural entrepreneur and politician best known for creating and long directing the major open-air music event Paléo Festival Nyon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Rossellat Target entity description: Daniel Rossellat is a Swiss cultural entrepreneur and politician best known for creating and long directing the major open-air music event Paléo Festival Nyon.
-
A.
Daniel Romalotti
Daniel Romalotti is a fictional character from the soap opera "The Young and the Restless," known for his complex family ties and tumultuous romantic relationships.
-
B.
Michael Salort
Michael Salort is an author best known for co-writing the book "Modelland."
-
C.
Daniel Grao
Daniel Grao is a Spanish film, television, and stage actor known for his roles in works by director Pedro Almodóvar and various acclaimed Spanish TV series.
-
D.
Frank Rossitano
Frank Rossitano is a slovenly, eccentric comedy writer on the TV show "30 Rock," known for his trucker hats and juvenile sense of humor.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e290efc8190b22c95dcd3e5f57f |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b43bfcc8190b1b373ee10786f1e |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bd62b308190b835ec76aba4b8cc |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c3e7b848190942cfa9d4b7bbd4c |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:17 a.m.