Triple
T14503918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Thierry Perrin |
E340213
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jean-Thierry
Jean-Thierry is a French masculine given name, typically used as a compound first name combining "Jean" and "Thierry."
|
E171385
|
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: Jean-Thierry | Statement: [Jean-Thierry Perrin, givenName, Jean-Thierry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Thierry Context triple: [Jean-Thierry Perrin, givenName, Jean-Thierry]
-
A.
Thierry
Thierry is a French given name most famously borne by legendary footballer Thierry Henry.
-
B.
Thiéry
Thiéry is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the mountainous hinterland above Nice.
-
C.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
D.
Bertrand-Jean
Bertrand-Jean is the birth name of the French Symbolist painter and printmaker better known as Odilon Redon.
-
E.
Joseph Thierry
Joseph Thierry was a 19th-century costume and set designer best known for his work on the original production of the ballet "Coppélia."
- 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: Jean-Thierry Triple: [Jean-Thierry Perrin, givenName, Jean-Thierry]
Generated description
Jean-Thierry is a French masculine given name, typically used as a compound first name combining "Jean" and "Thierry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Thierry Target entity description: Jean-Thierry is a French masculine given name, typically used as a compound first name combining "Jean" and "Thierry."
-
A.
Thierry
chosen
Thierry is a French given name most famously borne by legendary footballer Thierry Henry.
-
B.
Thiéry
Thiéry is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the mountainous hinterland above Nice.
-
C.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
D.
Bertrand-Jean
Bertrand-Jean is the birth name of the French Symbolist painter and printmaker better known as Odilon Redon.
-
E.
Joseph Thierry
Joseph Thierry was a 19th-century costume and set designer best known for his work on the original production of the ballet "Coppélia."
- F. None of above.
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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9dba1081909154362b922a2417 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f24431c81908a25ad81c28da56d |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ff5a58881909987fa653e58a197 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.