Triple
T12332174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiam |
E293988
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Pape Thiam
Pape Thiam is a notable individual who carries the surname Thiam, recognized among prominent bearers of that name.
|
E979703
|
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: Pape Thiam | Statement: [Thiam, notableBearer, Pape Thiam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pape Thiam Context triple: [Thiam, notableBearer, Pape Thiam]
-
A.
Mbaye Leye
Mbaye Leye is a Senegalese former professional footballer and coach known for his goal-scoring exploits as a forward in Belgian football.
-
B.
Djelimady Sissoko
Djelimady Sissoko was a renowned Malian kora virtuoso from a prominent griot family, celebrated for his mastery of traditional Mandé music.
-
C.
Abdou Diouf
Abdou Diouf is a Senegalese statesman who served as President of Senegal and later as Secretary-General of the Organisation internationale de la Francophonie.
-
D.
Abdou M’Boup
Abdou M’Boup is a Senegalese percussionist and kora player known for his work in world music and collaborations with Western pop and experimental groups.
-
E.
Cheikh Ndiaye
Cheikh Ndiaye is an actor known for his role in the critically acclaimed Spanish-language drama film "Biutiful."
- 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: Pape Thiam Triple: [Thiam, notableBearer, Pape Thiam]
Generated description
Pape Thiam is a notable individual who carries the surname Thiam, recognized among prominent bearers of that name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pape Thiam Target entity description: Pape Thiam is a notable individual who carries the surname Thiam, recognized among prominent bearers of that name.
-
A.
Mbaye Leye
Mbaye Leye is a Senegalese former professional footballer and coach known for his goal-scoring exploits as a forward in Belgian football.
-
B.
Djelimady Sissoko
Djelimady Sissoko was a renowned Malian kora virtuoso from a prominent griot family, celebrated for his mastery of traditional Mandé music.
-
C.
Abdou Diouf
Abdou Diouf is a Senegalese statesman who served as President of Senegal and later as Secretary-General of the Organisation internationale de la Francophonie.
-
D.
Abdou M’Boup
Abdou M’Boup is a Senegalese percussionist and kora player known for his work in world music and collaborations with Western pop and experimental groups.
-
E.
Cheikh Ndiaye
Cheikh Ndiaye is an actor known for his role in the critically acclaimed Spanish-language drama film "Biutiful."
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62be420308190bcb00d8b37b09ea2 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63050f5d48190881688d12c4c1819 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 8, 2026, 9:53 p.m.