Triple
T20079762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaise Matuidi |
E499965
|
entity |
| Predicate | youthClub |
P1088
|
FINISHED |
| Object |
CO Vincennes
CO Vincennes is a French football club known for being one of the early youth teams in the career of World Cup–winning midfielder Blaise Matuidi.
|
E1410642
|
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: CO Vincennes | Statement: [Blaise Matuidi, youthClub, CO Vincennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CO Vincennes Context triple: [Blaise Matuidi, youthClub, CO Vincennes]
-
A.
MS Chi-Cheemaun
MS Chi-Cheemaun is a large Canadian car and passenger ferry that operates across Lake Huron between Tobermory on the Bruce Peninsula and South Baymouth on Manitoulin Island.
-
B.
Tribune Delacourt
Tribune Delacourt is a spectator stand at the Stade Bollaert-Delelis football stadium in Lens, France.
-
C.
Louisvillian
A Louisvillian is a resident or native of Louisville, Kentucky.
-
D.
Carle
Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
-
E.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
- 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: CO Vincennes Triple: [Blaise Matuidi, youthClub, CO Vincennes]
Generated description
CO Vincennes is a French football club known for being one of the early youth teams in the career of World Cup–winning midfielder Blaise Matuidi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CO Vincennes Target entity description: CO Vincennes is a French football club known for being one of the early youth teams in the career of World Cup–winning midfielder Blaise Matuidi.
-
A.
MS Chi-Cheemaun
MS Chi-Cheemaun is a large Canadian car and passenger ferry that operates across Lake Huron between Tobermory on the Bruce Peninsula and South Baymouth on Manitoulin Island.
-
B.
Tribune Delacourt
Tribune Delacourt is a spectator stand at the Stade Bollaert-Delelis football stadium in Lens, France.
-
C.
Louisvillian
A Louisvillian is a resident or native of Louisville, Kentucky.
-
D.
Carle
Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
-
E.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643f93208190ae2a413f88ea9aed |
completed | April 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f43b37c819098e55bab84433896 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a0820057ee8819091d299de1559e1e2 |
completed | May 16, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08208c203c819083abea34d10d5e4e |
completed | May 16, 2026, 7:45 a.m. |
Created at: April 11, 2026, 3:40 p.m.