Triple
T19519868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Félix Leclerc |
E488374
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Martin Leclerc
Martin Leclerc is the son of renowned Québécois singer-songwriter, poet, and cultural icon Félix Leclerc.
|
E1379796
|
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: Martin Leclerc | Statement: [Félix Leclerc, child, Martin Leclerc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Leclerc Context triple: [Félix Leclerc, child, Martin Leclerc]
-
A.
Olivier Corzani
Olivier Corzani is a French local politician who serves as the mayor of the commune of Morangis.
-
B.
Christophe Fouquet
Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
-
C.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
D.
Julien Carette
Julien Carette was a French character actor known for his comic roles in classic French cinema of the 1930s and 1940s.
-
E.
Simon Carpentier
Simon Carpentier was a French musician and songwriter best known as one half of the indie pop duo Her.
- 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: Martin Leclerc Triple: [Félix Leclerc, child, Martin Leclerc]
Generated description
Martin Leclerc is the son of renowned Québécois singer-songwriter, poet, and cultural icon Félix Leclerc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Leclerc Target entity description: Martin Leclerc is the son of renowned Québécois singer-songwriter, poet, and cultural icon Félix Leclerc.
-
A.
Olivier Corzani
Olivier Corzani is a French local politician who serves as the mayor of the commune of Morangis.
-
B.
Christophe Fouquet
Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
-
C.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
D.
Julien Carette
Julien Carette was a French character actor known for his comic roles in classic French cinema of the 1930s and 1940s.
-
E.
Simon Carpentier
Simon Carpentier was a French musician and songwriter best known as one half of the indie pop duo Her.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074728f7548190a6a8e1888e8c8180 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07483465008190966296ddca76e7d2 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074931b1dc8190804d545e2058a69a |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.