Triple
T19397679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedian |
E485235
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Lewis Friedman
Lewis Friedman is an American screenwriter known for his work on comedy films and television projects.
|
E1423364
|
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: Lewis Friedman | Statement: [The Comedian, screenwriter, Lewis Friedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Friedman Context triple: [The Comedian, screenwriter, Lewis Friedman]
-
A.
Matthew Friedman
Matthew Friedman is a film editor best known for his work on the acclaimed 2019 drama "The Farewell."
-
B.
Stephen J. Friedman
Stephen J. Friedman was an American film producer and studio executive known for producing notable Hollywood films from the 1970s through the 1990s.
-
C.
Jud Friedman
Jud Friedman is an American songwriter and producer best known for co-writing major pop and R&B ballads, including hits for artists like Whitney Houston.
-
D.
Jan Friedman
Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
-
E.
Jonathan Friedman
Jonathan Friedman is a relatively common personal name shared by multiple individuals across various professional fields, including academia, law, and the arts.
- 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: Lewis Friedman Triple: [The Comedian, screenwriter, Lewis Friedman]
Generated description
Lewis Friedman is an American screenwriter known for his work on comedy films and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lewis Friedman Target entity description: Lewis Friedman is an American screenwriter known for his work on comedy films and television projects.
-
A.
Matthew Friedman
Matthew Friedman is a film editor best known for his work on the acclaimed 2019 drama "The Farewell."
-
B.
Stephen J. Friedman
Stephen J. Friedman was an American film producer and studio executive known for producing notable Hollywood films from the 1970s through the 1990s.
-
C.
Jud Friedman
Jud Friedman is an American songwriter and producer best known for co-writing major pop and R&B ballads, including hits for artists like Whitney Houston.
-
D.
Jan Friedman
Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
-
E.
Jonathan Friedman
Jonathan Friedman is a relatively common personal name shared by multiple individuals across various professional fields, including academia, law, and the arts.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0861013a1081909a47782a9a1ac1d0 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:36 p.m.