Triple
T350936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Zuckerberg |
E7440
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Karen Kempner
Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
|
E98803
|
NE FINISHED |
How this triple was built (4 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: Karen Kempner | Statement: [Edward Zuckerberg, spouse, Karen Kempner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Kempner Context triple: [Edward Zuckerberg, spouse, Karen Kempner]
-
A.
Annette Lerner
Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
-
B.
Jean Acker
Jean Acker was an American silent film actress best known as the first wife of movie icon Rudolph Valentino.
-
C.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
D.
Ellen Brody
Ellen Brody is the resilient and protective wife of police chief Martin Brody in the Jaws film series, known for her role as a grounding family presence amid the shark-related terror.
-
E.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karen Kempner Triple: [Edward Zuckerberg, spouse, Karen Kempner]
Generated description
Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Kempner Target entity description: Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
-
A.
Annette Lerner
Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
-
B.
Jean Acker
Jean Acker was an American silent film actress best known as the first wife of movie icon Rudolph Valentino.
-
C.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
D.
Ellen Brody
Ellen Brody is the resilient and protective wife of police chief Martin Brody in the Jaws film series, known for her role as a grounding family presence amid the shark-related terror.
-
E.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
- F. None of above. chosen
Provenance (5 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79277143c819091019a9ca625039f |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a7931d1bac8190b9b300f3d7f94131 |
completed | March 4, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a793860a688190a537418beb72141c |
completed | March 4, 2026, 2:05 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.