Triple
T5414424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wojcicki |
E121093
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Susan Wojcicki |
E22723
|
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: Susan Wojcicki | Statement: [Wojcicki, hasNotableBearer, Susan Wojcicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Wojcicki Context triple: [Wojcicki, hasNotableBearer, Susan Wojcicki]
-
A.
Susan Wojcicki
chosen
Susan Wojcicki is an American technology executive best known for serving as the longtime CEO of YouTube and for being one of Google’s earliest employees and key advertising leaders.
-
B.
Stanley Wojcicki
Stanley Wojcicki is a Polish-American physicist and longtime Stanford University professor known both for his contributions to particle physics and as the father of tech executive Susan Wojcicki.
-
C.
Esther Wojcicki
Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
-
D.
Anjali Pichai
Anjali Pichai is an Indian-born chemical engineer and businesswoman best known as the wife of Google and Alphabet CEO Sundar Pichai.
-
E.
Janet Wojcicki
Janet Wojcicki is an American epidemiologist and academic researcher known for her work in public health and nutrition.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bcace08190932fe85e4b4aeffc |
completed | March 20, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3aa743008190840ddcea08d67a66 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:05 p.m.