Triple
T3056220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaches |
E60486
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mayim Bialik |
E195372
|
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: Mayim Bialik | Statement: [Beaches, starring, Mayim Bialik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayim Bialik Context triple: [Beaches, starring, Mayim Bialik]
-
A.
Mayim Bialik
chosen
Mayim Bialik is an American actress and neuroscientist best known for her roles on the TV series "Blossom" and "The Big Bang Theory."
-
B.
Kat Dennings
Kat Dennings is an American actress best known for her roles in the sitcom "2 Broke Girls" and films such as "Nick and Norah's Infinite Playlist" and the Marvel "Thor" series.
-
C.
Jillian Bell
Jillian Bell is an American comedian, actress, and writer known for her sharp, offbeat humor in films and TV shows such as "Workaholics," "22 Jump Street," and "Brittany Runs a Marathon."
-
D.
Alison Brie
Alison Brie is an American actress known for her roles in television series like "Community" and "Mad Men," as well as her voice work in animated films.
-
E.
Adeena Sussman
Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.