Triple
T9835434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Ejogo |
E239087
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ejogo |
E239087
|
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: Ejogo | Statement: [Carmen Ejogo, familyName, Ejogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ejogo Context triple: [Carmen Ejogo, familyName, Ejogo]
-
A.
Ejogo
chosen
Ejogo is a surname most notably associated with British actress and singer Carmen Ejogo.
-
B.
Jasso
Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
-
C.
Juglot
Juglot is a small town in Gilgit-Baltistan, Pakistan, known for its strategic location near the confluence of major rivers and as a junction on the Karakoram Highway.
-
D.
Jimo
Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
-
E.
Žehra
Žehra is a historic village in eastern Slovakia renowned for its UNESCO-listed Gothic church and its proximity to the medieval Spiš Castle.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb339aa1c8190901d8e660cef49c5 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:33 p.m.