Triple
T20697479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N’Dare Munroe |
E508693
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
N’Dare
N’Dare is a fictional character known primarily as the mother of DC Comics superhero Black Lightning (Jefferson Pierce).
|
E1445701
|
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: N’Dare | Statement: [N’Dare Munroe, givenName, N’Dare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N’Dare Context triple: [N’Dare Munroe, givenName, N’Dare]
-
A.
Kenzi
Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
-
B.
Wamba
Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
-
C.
Wamba
Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
-
D.
Wamba
Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
-
E.
Dawakin Kudu
Dawakin Kudu is a prominent town and local government area in northern Nigeria known for its role in agriculture and education within Kano State.
- 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: N’Dare Triple: [N’Dare Munroe, givenName, N’Dare]
Generated description
N’Dare is a fictional character known primarily as the mother of DC Comics superhero Black Lightning (Jefferson Pierce).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N’Dare Target entity description: N’Dare is a fictional character known primarily as the mother of DC Comics superhero Black Lightning (Jefferson Pierce).
-
A.
Kenzi
Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
-
B.
Wamba
Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
-
C.
Wamba
Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
-
D.
Wamba
Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
-
E.
Dawakin Kudu
Dawakin Kudu is a prominent town and local government area in northern Nigeria known for its role in agriculture and education within Kano State.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e94aa08190973e4d4f36a7b6f0 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d89983608190acb8f2b8b9483574 |
completed | May 16, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9693acc8190acc75cbbf06b62da |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:11 p.m.