Triple
T10699575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiney Ogwumike |
E252235
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Chinenye |
E867600
|
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: Chinenye | Statement: [Chiney Ogwumike, givenName, Chinenye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinenye Context triple: [Chiney Ogwumike, givenName, Chinenye]
-
A.
Chiny
Chiny is a small municipality in the Belgian province of Luxembourg, known for its scenic forests and river landscapes in the Semois valley.
-
B.
Malchina
Malchina is a small settlement or locality within the municipality of Sgonico in the Friuli Venezia Giulia region of northeastern Italy.
-
C.
Chiwu
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
-
D.
Chiney
chosen
Chiney is a Nigerian-American professional basketball player and sports broadcaster best known for her WNBA career and work as an ESPN analyst.
-
E.
Ching
Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad110d9481908c3c0873424ec616 |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:12 p.m.