Triple
T11196736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary-General of the Organization of African Unity |
E264941
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Nzo Ekangaki
Nzo Ekangaki was a Cameroonian politician and diplomat who served as Secretary-General of the Organization of African Unity in the early 1970s.
|
E910447
|
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: Nzo Ekangaki | Statement: [Secretary-General of the Organization of African Unity, officeHolder, Nzo Ekangaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nzo Ekangaki Context triple: [Secretary-General of the Organization of African Unity, officeHolder, Nzo Ekangaki]
-
A.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
-
B.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
-
C.
Okonedo
Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
-
D.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
E.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
- 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: Nzo Ekangaki Triple: [Secretary-General of the Organization of African Unity, officeHolder, Nzo Ekangaki]
Generated description
Nzo Ekangaki was a Cameroonian politician and diplomat who served as Secretary-General of the Organization of African Unity in the early 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nzo Ekangaki Target entity description: Nzo Ekangaki was a Cameroonian politician and diplomat who served as Secretary-General of the Organization of African Unity in the early 1970s.
-
A.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
-
B.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
-
C.
Okonedo
Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
-
D.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
E.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4840640688190a5b3c36883b8fce8 |
completed | April 19, 2026, 7:28 a.m. |
| NEDg | Description generation | batch_69e48717c35481908fb05597084167e7 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e48875faa88190af33654e6d9a708b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 8, 2026, 9:29 p.m.