Triple
T13894184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordin Prize |
E334045
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Antoine Bordin
Antoine Bordin was a notable figure in whose honor the Bordin Prize was established, recognizing significant contributions in his field.
|
E1454903
|
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: Antoine Bordin | Statement: [Bordin Prize, namedAfter, Antoine Bordin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antoine Bordin Context triple: [Bordin Prize, namedAfter, Antoine Bordin]
-
A.
Frédéric Bourdin
Frédéric Bourdin is a French local politician serving as the mayor of the commune of Domont in northern France.
-
B.
Joseph-Marie Couttet
Joseph-Marie Couttet was a 19th-century French mountain guide and pioneering alpinist known for making the first ascent of the Breithorn in the Alps.
-
C.
François Chattot
François Chattot is a French actor known for his work in film, theatre, and television.
-
D.
Michel Labardin
Michel Labardin is a French local politician who serves as the mayor of the commune of Gradignan in southwestern France.
-
E.
Jules Belliard
Jules Belliard was a notable Belgian figure, likely a politician or public servant, commemorated by having a major Brussels street named after him.
- 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: Antoine Bordin Triple: [Bordin Prize, namedAfter, Antoine Bordin]
Generated description
Antoine Bordin was a notable figure in whose honor the Bordin Prize was established, recognizing significant contributions in his field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antoine Bordin Target entity description: Antoine Bordin was a notable figure in whose honor the Bordin Prize was established, recognizing significant contributions in his field.
-
A.
Frédéric Bourdin
Frédéric Bourdin is a French local politician serving as the mayor of the commune of Domont in northern France.
-
B.
Joseph-Marie Couttet
Joseph-Marie Couttet was a 19th-century French mountain guide and pioneering alpinist known for making the first ascent of the Breithorn in the Alps.
-
C.
François Chattot
François Chattot is a French actor known for his work in film, theatre, and television.
-
D.
Michel Labardin
Michel Labardin is a French local politician who serves as the mayor of the commune of Gradignan in southwestern France.
-
E.
Jules Belliard
Jules Belliard was a notable Belgian figure, likely a politician or public servant, commemorated by having a major Brussels street named after him.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091380428c8190b0535d3100e3c9a6 |
completed | May 17, 2026, 1:01 a.m. |
| NEDg | Description generation | batch_6a0914358a088190848fd658fa884cf1 |
completed | May 17, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914daf1188190bd8287ef06156c6f |
completed | May 17, 2026, 1:07 a.m. |
Created at: April 9, 2026, 10:15 p.m.