Triple
T17479228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under the Silver Lake |
E425613
|
entity |
| Predicate | castMember |
P1668
|
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: [Under the Silver Lake, castMember, Zosia Mamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zosia Mamet Context triple: [Under the Silver Lake, castMember, 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.
Clara Mamet
Clara Mamet is an American actress, playwright, and screenwriter known for her work in independent film and theater and as the daughter of playwright David Mamet.
-
C.
Phil Parmet
Phil Parmet is an American cinematographer known for his work on genre films, including Rob Zombie’s horror movie "The Devil’s Rejects."
-
D.
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."
-
E.
Deborah Lurie
Deborah Lurie is an American composer and arranger known for her work on numerous film scores and soundtracks.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451be5fd08190aeaa12b3a6d6c6d4 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b8301b7881909fa726ab44bb9a21 |
completed | May 11, 2026, 11:06 a.m. |
Created at: April 10, 2026, 5:48 a.m.