Triple
T14580556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abe Weissman |
E342180
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Miriam Maisel |
E1050599
|
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: Miriam Maisel | Statement: [Abe Weissman, child, Miriam Maisel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miriam Maisel Context triple: [Abe Weissman, child, Miriam Maisel]
-
A.
Miriam Maisel
chosen
Miriam Maisel is the quick-witted 1950s housewife-turned-stand-up comedian who serves as the protagonist of the television series "The Marvelous Mrs. Maisel."
-
B.
Hilary Minc
Hilary Minc was a prominent Polish communist politician and economist who played a leading role in shaping Poland’s post-World War II socialist economy.
-
C.
Shirley Maisel
Shirley Maisel is a comedic, overbearing, and traditional Jewish matriarch in the television series "The Marvelous Mrs. Maisel," known for her meddling nature and sharp-tongued humor.
-
D.
Sarah Baldwin
Sarah Baldwin is an actress known for appearing in the romantic comedy film "Something Borrowed."
-
E.
Iliza Shlesinger
Iliza Shlesinger is an American stand-up comedian, actress, and writer known for her sharp, high-energy comedy specials and roles in film and television.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f6f78c81908a30ecb4c025299d |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b832b08190965b727baa700403 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.