Triple
T20347896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Et s’il fallait le faire |
E495919
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Fred Blondin
Fred Blondin is a French singer-songwriter known for his work in the chanson and pop-rock genres.
|
E1425572
|
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: Fred Blondin | Statement: [Et s’il fallait le faire, composer, Fred Blondin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Blondin Context triple: [Et s’il fallait le faire, composer, Fred Blondin]
-
A.
Larry Nicolas Bourgeois
Larry Nicolas Bourgeois is a French hip-hop dancer, choreographer, and creative performer best known as one half of the internationally acclaimed dance duo Les Twins.
-
B.
Ronald Fleury
Ronald Fleury is the fictional lead FBI special agent portrayed by Jamie Foxx in the 2007 action-thriller film "The Kingdom."
-
C.
Dan Geoffrion
Dan Geoffrion is a former professional ice hockey player and the son of Hockey Hall of Famer Bernie "Boom Boom" Geoffrion.
-
D.
Alan Geoffrion
Alan Geoffrion is an American author and screenwriter best known for creating the Western novel and miniseries "Broken Trail."
-
E.
Ian Frazier
Ian Frazier is an American writer and humorist best known for his essays and reportage in The New Yorker and books such as "Great Plains" and "On the Rez."
- 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: Fred Blondin Triple: [Et s’il fallait le faire, composer, Fred Blondin]
Generated description
Fred Blondin is a French singer-songwriter known for his work in the chanson and pop-rock genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Blondin Target entity description: Fred Blondin is a French singer-songwriter known for his work in the chanson and pop-rock genres.
-
A.
Larry Nicolas Bourgeois
Larry Nicolas Bourgeois is a French hip-hop dancer, choreographer, and creative performer best known as one half of the internationally acclaimed dance duo Les Twins.
-
B.
Ronald Fleury
Ronald Fleury is the fictional lead FBI special agent portrayed by Jamie Foxx in the 2007 action-thriller film "The Kingdom."
-
C.
Dan Geoffrion
Dan Geoffrion is a former professional ice hockey player and the son of Hockey Hall of Famer Bernie "Boom Boom" Geoffrion.
-
D.
Alan Geoffrion
Alan Geoffrion is an American author and screenwriter best known for creating the Western novel and miniseries "Broken Trail."
-
E.
Ian Frazier
Ian Frazier is an American writer and humorist best known for his essays and reportage in The New Yorker and books such as "Great Plains" and "On the Rez."
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67839e7b48190876ce7133a20c65b |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08696353608190adf7492e6c5377f9 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869b998108190a5c6652c2f5f2f5d |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.