Triple
T10492451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nneka Ogwumike |
E247451
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Erica Ogwumike |
E880607
|
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: Erica Ogwumike | Statement: [Nneka Ogwumike, relative, Erica Ogwumike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erica Ogwumike Context triple: [Nneka Ogwumike, relative, Erica Ogwumike]
-
A.
Olivia Ogwumike
chosen
Olivia Ogwumike is a basketball player known for being part of the prominent Ogwumike family of athletes.
-
B.
Nneka Ogwumike
Nneka Ogwumike is a Nigerian-American professional basketball player and WNBA star known for her MVP-caliber play with the Los Angeles Sparks and leadership as president of the WNBPA.
-
C.
Kelsey Plum
Kelsey Plum is an American professional basketball player and prolific scoring guard, best known for her record-setting college career at Washington and success in the WNBA.
-
D.
Chiney Ogwumike
Chiney Ogwumike is a Nigerian-American professional basketball player in the WNBA and a prominent sports broadcaster.
-
E.
Napheesa Collier
Napheesa Collier is an American professional basketball player and WNBA All-Star known for her standout collegiate career at UConn and her versatile two-way play.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 6, 2026, 12:24 p.m.