Triple
T15685334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutombo |
E380183
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mutombo |
E380183
|
NE FINISHED |
How this triple was built (2 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: [Mutombo, familyName, Mutombo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutombo Context triple: [Mutombo, familyName, Mutombo]
-
A.
Mutombo
chosen
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
-
B.
Chitambo
Chitambo is a historical locality in present-day Zambia best known as the place where Scottish explorer David Livingstone died in 1873.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
-
E.
Lusambo
Lusambo is a town in the Democratic Republic of the Congo that once served as an important colonial and regional administrative center in the Kasai area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee740e08190aa048b374ea7bfa0 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.