Triple
T9952970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayim Bialik |
E195372
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Michael Stone |
E252879
|
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: Michael Stone | Statement: [Mayim Bialik, spouse, Michael Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stone Context triple: [Mayim Bialik, spouse, Michael Stone]
-
A.
Michael Stone
chosen
Michael Stone is a common name shared by several notable individuals, including professionals in fields such as politics, sports, academia, and the arts.
-
B.
Christopher Isaac Stone
Christopher Isaac Stone, better known as Biz Stone, is an American entrepreneur and software developer best known as a co-founder of Twitter.
-
C.
Christopher Stone
Christopher Stone was an American actor known for his work in film and television, including frequent collaborations with his wife, actress Dee Wallace.
-
D.
Andrew L. Stone
Andrew L. Stone was an American film director, producer, and screenwriter known for his tightly paced thrillers and semi-documentary style crime dramas in the mid-20th century.
-
E.
David Stone
David Stone is a prominent American theatrical producer known for his work on acclaimed Broadway shows including the musical "Wicked."
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281e1eb848190b898e36ec9821228 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:46 p.m.