Triple
T19879532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Wojcicki |
E477730
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wojcicki |
—
|
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: Wojcicki | Statement: [Susan Wojcicki, familyName, Wojcicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wojcicki Context triple: [Susan Wojcicki, familyName, Wojcicki]
-
A.
Wojcicki
Wojcicki is a Polish surname most prominently associated with Susan Wojcicki, the longtime former CEO of YouTube and an influential figure in the tech industry.
-
B.
Wójcicki
chosen
Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
-
C.
Sarah Orzechowski
Sarah Orzechowski is an American esthetician and social media personality best known as the wife of Panic! at the Disco frontman Brendon Urie.
-
D.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
E.
Marcy Wudarski
Marcy Wudarski is an American film producer best known as the former wife of late actor James Gandolfini.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dd869c81908aed91ee767f5f3d |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.