Triple
T11690638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Arinze |
E277858
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
|
E946657
|
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: Arinze | Statement: [Francis Arinze, familyName, Arinze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arinze Context triple: [Francis Arinze, familyName, Arinze]
-
A.
Ahiazu Mbaise
Ahiazu Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
-
B.
Dumebi
Dumebi is a popular Afrobeats hit song by Nigerian singer Rema that helped launch him to international prominence.
-
C.
Isi-Uzo
Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
-
D.
Kelechi
Kelechi is the Nigerian Igbo middle name of American actress Susan Kelechi Watson, reflecting her West African heritage.
-
E.
Okpe
Okpe is one of the principal subgroups of the Urhobo people of southern Nigeria, known for its distinct cultural identity and traditional institutions.
- 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: Arinze Triple: [Francis Arinze, familyName, Arinze]
Generated description
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arinze Target entity description: Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
A.
Ahiazu Mbaise
Ahiazu Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
-
B.
Dumebi
Dumebi is a popular Afrobeats hit song by Nigerian singer Rema that helped launch him to international prominence.
-
C.
Isi-Uzo
Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
-
D.
Kelechi
Kelechi is the Nigerian Igbo middle name of American actress Susan Kelechi Watson, reflecting her West African heritage.
-
E.
Okpe
Okpe is one of the principal subgroups of the Urhobo people of southern Nigeria, known for its distinct cultural identity and traditional institutions.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47a3ddc819098e208611148d15b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08fd4c09081909ee36de77ca67247 |
completed | April 28, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69f0a7971df48190b51c1d245f4c89d2 |
completed | April 28, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0d61cf9c4819080590fefc60f7325 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 8, 2026, 9:40 p.m.