Triple
T10557738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaud Capuçon |
E249132
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laurence Ferrari
Laurence Ferrari is a prominent French journalist and television presenter known for hosting major news programs on channels such as TF1 and CNews.
|
E870508
|
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: Laurence Ferrari | Statement: [Renaud Capuçon, spouse, Laurence Ferrari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence Ferrari Context triple: [Renaud Capuçon, spouse, Laurence Ferrari]
-
A.
Gérard Blitz
Gérard Blitz was a Belgian entrepreneur best known as the co-founder and driving force behind the development of the Club Med holiday resort concept.
-
B.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
E.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
- 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: Laurence Ferrari Triple: [Renaud Capuçon, spouse, Laurence Ferrari]
Generated description
Laurence Ferrari is a prominent French journalist and television presenter known for hosting major news programs on channels such as TF1 and CNews.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurence Ferrari Target entity description: Laurence Ferrari is a prominent French journalist and television presenter known for hosting major news programs on channels such as TF1 and CNews.
-
A.
Gérard Blitz
Gérard Blitz was a Belgian entrepreneur best known as the co-founder and driving force behind the development of the Club Med holiday resort concept.
-
B.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
E.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271521a4819086d96e1f183ab07a |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9347ae67081909cb2c3911cb1be67 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c979788190b11b02748ed44153 |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9398b63f08190910dd838ad11de6e |
completed | April 10, 2026, 5:55 p.m. |
Created at: April 6, 2026, 12:35 p.m.