Triple
T3684742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dikembe Mutombo |
E78196
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mutombo
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
|
E380183
|
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: Mutombo | Statement: [Dikembe Mutombo, familyName, Mutombo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutombo Context triple: [Dikembe Mutombo, familyName, Mutombo]
-
A.
Chitambo
Chitambo is a historical locality in present-day Zambia best known as the place where Scottish explorer David Livingstone died in 1873.
-
B.
Kilembe
Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
-
C.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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: Mutombo Triple: [Dikembe Mutombo, familyName, Mutombo]
Generated description
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mutombo Target entity description: Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
-
A.
Chitambo
Chitambo is a historical locality in present-day Zambia best known as the place where Scottish explorer David Livingstone died in 1873.
-
B.
Kilembe
Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
-
C.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c49b408190bc800bcf9745fe4f |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3b86de88190bf4d39aae48ef930 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c78bca688190bb06f64827285790 |
completed | March 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c7f33dec8190b71ea08cb1d34c32 |
completed | March 14, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:26 p.m.