Triple
T14508624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran Lebowitz |
E340333
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lebowitz
Lebowitz is a Jewish surname most notably associated with American author and social commentator Fran Lebowitz.
|
E1102878
|
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: Lebowitz | Statement: [Fran Lebowitz, familyName, Lebowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebowitz Context triple: [Fran Lebowitz, familyName, Lebowitz]
-
A.
Armond Lebowitz
Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
-
B.
Joel L. Lebowitz
Joel L. Lebowitz is a prominent mathematical physicist renowned for his foundational contributions to statistical mechanics and his leadership in the mathematical sciences community.
-
C.
Leibowitz
Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
-
D.
Simon Leibowitz
Simon Leibowitz is an individual notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Alex Gottlieb
Alex Gottlieb was an American film producer and screenwriter active during Hollywood’s mid-20th-century studio era.
- 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: Lebowitz Triple: [Fran Lebowitz, familyName, Lebowitz]
Generated description
Lebowitz is a Jewish surname most notably associated with American author and social commentator Fran Lebowitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lebowitz Target entity description: Lebowitz is a Jewish surname most notably associated with American author and social commentator Fran Lebowitz.
-
A.
Armond Lebowitz
Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
-
B.
Joel L. Lebowitz
Joel L. Lebowitz is a prominent mathematical physicist renowned for his foundational contributions to statistical mechanics and his leadership in the mathematical sciences community.
-
C.
Leibowitz
Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
-
D.
Simon Leibowitz
Simon Leibowitz is an individual notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Alex Gottlieb
Alex Gottlieb was an American film producer and screenwriter active during Hollywood’s mid-20th-century studio era.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd71ef47848190bf10dbedb72304e6 |
completed | May 8, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd729c87dc81909d9149928c70cb00 |
completed | May 8, 2026, 5:20 a.m. |
Created at: April 10, 2026, 1:21 a.m.