Triple
T19935504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupita Nyong'o |
E479163
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Luo |
—
|
NE NERFINISHED |
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: Luo | Statement: [Lupita Nyong'o, languageSpoken, Luo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luo Context triple: [Lupita Nyong'o, languageSpoken, Luo]
-
A.
Luo
The Luo are a Nilotic ethnic group of East Africa, primarily found in western Kenya and parts of neighboring countries, known for their rich cultural traditions and significant influence in Kenyan politics and society.
-
B.
Luo
Luo is a common Chinese surname borne by numerous notable figures across politics, military, arts, and academia.
-
C.
Luo
chosen
Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
-
D.
Luoyi
Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
-
E.
Liao
Liao is a surname of Chinese origin borne by various notable individuals across fields such as acting, politics, and academia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a173a448190a25cb859803e3afc |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.