Triple
T20389593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Mazursky |
E498049
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mazursky |
—
|
NE NERFINISHED |
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: Mazursky | Statement: [Olivia Mazursky, familyName, Mazursky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazursky Context triple: [Olivia Mazursky, familyName, Mazursky]
-
A.
Mazursky
chosen
Mazursky is the surname of Paul Mazursky, an American film director, screenwriter, and actor known for his satirical and socially observant movies.
-
B.
Lucian Maisel
Lucian Maisel is an American actor best known for his role in the 2009 family drama film "Everybody’s Fine."
-
C.
Garfinkle
Garfinkle is the original surname of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
-
D.
Mr. Mushnik
Mr. Mushnik is the gruff, profit-driven owner of the struggling flower shop in the horror-comedy musical "Little Shop of Horrors."
-
E.
Yutz
Yutz is a commune in northeastern France situated in the Moselle department, known for its residential character and proximity to the city of Thionville.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.