Triple
T2745980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Kempner Zuckerberg |
E60868
|
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 Zuckerberg, spouse, Edward Zuckerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Zuckerberg Context triple: [Karen Kempner Zuckerberg, 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.
August Chan Zuckerberg
August Chan Zuckerberg is one of the daughters of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
C.
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.
-
D.
Jonathan I. Schwartz
Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
-
E.
Andrew Marcus
Andrew Marcus is a literary editor known for preparing an edition of E. M. Forster’s novel "Howards End."
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ed6bc8190876c1d188b97692b |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbd0f3a08190bf33a937ae9749c7 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:56 p.m.