Triple
T20079752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaise Matuidi |
E499965
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Matuidi
Matuidi is the surname of French former professional footballer Blaise Matuidi, a World Cup–winning midfielder known for his tireless work rate and defensive prowess.
|
E1410641
|
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: Matuidi | Statement: [Blaise Matuidi, familyName, Matuidi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matuidi Context triple: [Blaise Matuidi, familyName, Matuidi]
-
A.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
B.
Muntari
Muntari is a Ghanaian surname most notably associated with Sulley Muntari, a professional footballer who played for top European clubs and the Ghana national team.
-
C.
Zeus Osogoa
Zeus Osogoa is a local cultic form of the Greek god Zeus who was venerated as the principal deity of the ancient Carian city of Mylasa.
-
D.
Tite
Tite is a Brazilian football manager best known for leading Brazil’s national team to major titles, including the 2019 Copa América.
-
E.
Figo
Figo is a retired Portuguese footballer widely regarded as one of the greatest wingers of his generation, known for starring at clubs like Barcelona, Real Madrid, and Inter Milan.
- 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: Matuidi Triple: [Blaise Matuidi, familyName, Matuidi]
Generated description
Matuidi is the surname of French former professional footballer Blaise Matuidi, a World Cup–winning midfielder known for his tireless work rate and defensive prowess.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matuidi Target entity description: Matuidi is the surname of French former professional footballer Blaise Matuidi, a World Cup–winning midfielder known for his tireless work rate and defensive prowess.
-
A.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
B.
Muntari
Muntari is a Ghanaian surname most notably associated with Sulley Muntari, a professional footballer who played for top European clubs and the Ghana national team.
-
C.
Zeus Osogoa
Zeus Osogoa is a local cultic form of the Greek god Zeus who was venerated as the principal deity of the ancient Carian city of Mylasa.
-
D.
Tite
Tite is a Brazilian football manager best known for leading Brazil’s national team to major titles, including the 2019 Copa América.
-
E.
Figo
Figo is a retired Portuguese footballer widely regarded as one of the greatest wingers of his generation, known for starring at clubs like Barcelona, Real Madrid, and Inter Milan.
- 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.