Triple
T130012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priscilla Chan |
E2633
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mark Zuckerberg |
E306
|
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: Mark Zuckerberg | Statement: [Priscilla Chan, spouse, Mark Zuckerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Zuckerberg Context triple: [Priscilla Chan, spouse, Mark Zuckerberg]
-
A.
Mark Zuckerberg
chosen
Mark Zuckerberg is an American technology entrepreneur and philanthropist best known as the co-founder and CEO of Facebook (now Meta Platforms).
-
B.
Randi Zuckerberg
Randi Zuckerberg is an American businesswoman, author, and former Facebook marketing executive who founded the media company Zuckerberg Media and focuses on technology, entrepreneurship, and digital literacy.
-
C.
Eduardo Saverin
Eduardo Saverin is a Brazilian-born entrepreneur and investor best known as one of the original co-founders of Facebook.
-
D.
Karen Kempner Zuckerberg
Karen Kempner Zuckerberg is an American psychiatrist best known as the mother of Facebook co-founder and CEO Mark Zuckerberg.
-
E.
Reid Hoffman
Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2fd00c6b88190b5fc1180632cdb25 |
completed | Feb. 28, 2026, 2:34 p.m. |
Created at: Feb. 28, 2026, 2:30 a.m.