Triple
T12402698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Mazursky |
E296297
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mazursky
Mazursky is the surname of Paul Mazursky, an American film director, screenwriter, and actor known for his satirical and socially observant movies.
|
E981372
|
NE FINISHED |
How this triple was built (4 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: [Paul Mazursky, familyName, Mazursky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazursky Context triple: [Paul Mazursky, familyName, Mazursky]
-
A.
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.
-
B.
Mr. Mushnik
Mr. Mushnik is the gruff, profit-driven owner of the struggling flower shop in the horror-comedy musical "Little Shop of Horrors."
-
C.
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.
-
D.
Gingold
Gingold is a surname most notably associated with British actress and comedian Hermione Gingold, renowned for her sharp wit and distinctive voice.
-
E.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mazursky Triple: [Paul Mazursky, familyName, Mazursky]
Generated description
Mazursky is the surname of Paul Mazursky, an American film director, screenwriter, and actor known for his satirical and socially observant movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazursky Target entity description: Mazursky is the surname of Paul Mazursky, an American film director, screenwriter, and actor known for his satirical and socially observant movies.
-
A.
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.
-
B.
Mr. Mushnik
Mr. Mushnik is the gruff, profit-driven owner of the struggling flower shop in the horror-comedy musical "Little Shop of Horrors."
-
C.
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.
-
D.
Gingold
Gingold is a surname most notably associated with British actress and comedian Hermione Gingold, renowned for her sharp wit and distinctive voice.
-
E.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
- F. None of above. chosen
Provenance (5 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63484c6808190a71d24f8ee3a7e15 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f63675dbb08190b2711d1d58ffea9b |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6375cc6908190922825013e0b4000 |
completed | May 2, 2026, 5:41 p.m. |
Created at: April 8, 2026, 9:55 p.m.