Triple
T21905073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheryl WuDunn |
E540914
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sheryl WuDunn |
—
|
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: Sheryl WuDunn | Statement: [Sheryl WuDunn, name, Sheryl WuDunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheryl WuDunn Context triple: [Sheryl WuDunn, name, Sheryl WuDunn]
-
A.
Sheryl WuDunn
chosen
Sheryl WuDunn is a Pulitzer Prize–winning journalist, author, and business executive known for her work on global issues and women's rights.
-
B.
Jill Tavelman
Jill Tavelman is an American former actress and businesswoman best known as the ex-wife of musician Phil Collins and the mother of actress Lily Collins.
-
C.
Melinda French Gates
Melinda French Gates is an American philanthropist and former Microsoft executive best known for co-founding the Bill & Melinda Gates Foundation and her global work on health, education, and gender equality.
-
D.
Nancy Kanter
Nancy Kanter is a television executive and producer best known for her leadership roles at Disney Junior and her work developing and overseeing acclaimed children’s programming.
-
E.
Sue Kanter
Sue Kanter is known as the wife of American comedy writer, producer, and director Hal Kanter.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d4c0248190909172decd7cbc64 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:32 p.m.