Triple
T4367158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Kempner |
E98803
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Edward Zuckerberg |
E7440
|
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: Edward Zuckerberg | Statement: [Karen Kempner, spouse, Edward Zuckerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Zuckerberg Context triple: [Karen Kempner, spouse, Edward Zuckerberg]
-
A.
Edward Zuckerberg
chosen
Edward Zuckerberg is an American dentist and technology enthusiast best known as the father of Facebook co-founder Mark Zuckerberg.
-
B.
Christian Stovitz
Christian Stovitz is a stylish, charming new student and love interest in the 1995 teen comedy film "Clueless," known for his retro fashion sense and eventual revelation as gay.
-
C.
August Chan Zuckerberg
August Chan Zuckerberg is one of the daughters of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
Jeff Weiner
Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
-
E.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcec90881908fe83c83119d99fe |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.