Triple
T6527379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zosia Mamet |
E151339
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zosia Mamet |
E151339
|
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: Zosia Mamet | Statement: [Zosia Mamet, name, Zosia Mamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zosia Mamet Context triple: [Zosia Mamet, name, Zosia Mamet]
-
A.
Zosia Mamet
chosen
Zosia Mamet is an American actress best known for her role as the eccentric and fast-talking Shoshanna Shapiro on the HBO series "Girls."
-
B.
Olivia Mazursky
Olivia Mazursky is a member of the Mazursky family connected to Zack Mazursky, a figure known from the real-life kidnapping and murder case that inspired the film "Alpha Dog."
-
C.
Ronit Matalon
Ronit Matalon was an Israeli author known for her innovative Hebrew prose that explored themes of identity, family, and Mizrahi experience in contemporary Israeli society.
-
D.
Gail Lumet Buckley
Gail Lumet Buckley is an American author and journalist known for her historical writings on African American families and her memoirs reflecting on race, politics, and legacy.
-
E.
Jenny Lumet
Jenny Lumet is an American screenwriter and actress best known for writing the film "Rachel Getting Married" and for her work on several prominent television series.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52a642c8190a50988f3faf61d39 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.