Triple
T13871213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge Ibaka |
E333453
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ibaka
Ibaka is the surname of Serge Ibaka, a Congolese-Spanish professional basketball player known for his shot-blocking and NBA championship with the Toronto Raptors.
|
E1065422
|
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: Ibaka | Statement: [Serge Ibaka, familyName, Ibaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibaka Context triple: [Serge Ibaka, familyName, Ibaka]
-
A.
Iribe
Iribe is the surname of Brendan Iribe, the American entrepreneur best known as a co-founder and former CEO of virtual reality company Oculus VR.
-
B.
Ibura
Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
-
C.
Ibusa
Ibusa is a prominent town in Delta State, Nigeria, known for its Anioma (Igbo-speaking) heritage and cultural significance in the region.
-
D.
Gosaba
Gosaba is a village and community development block in the Sundarbans region of West Bengal, India, known as a gateway to the mangrove forests and tiger reserve.
-
E.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
- 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: Ibaka Triple: [Serge Ibaka, familyName, Ibaka]
Generated description
Ibaka is the surname of Serge Ibaka, a Congolese-Spanish professional basketball player known for his shot-blocking and NBA championship with the Toronto Raptors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibaka Target entity description: Ibaka is the surname of Serge Ibaka, a Congolese-Spanish professional basketball player known for his shot-blocking and NBA championship with the Toronto Raptors.
-
A.
Iribe
Iribe is the surname of Brendan Iribe, the American entrepreneur best known as a co-founder and former CEO of virtual reality company Oculus VR.
-
B.
Ibura
Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
-
C.
Ibusa
Ibusa is a prominent town in Delta State, Nigeria, known for its Anioma (Igbo-speaking) heritage and cultural significance in the region.
-
D.
Gosaba
Gosaba is a village and community development block in the Sundarbans region of West Bengal, India, known as a gateway to the mangrove forests and tiger reserve.
-
E.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.