Triple
T13792331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waist Deep |
E331428
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Levy
Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
|
E1061229
|
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: Michael Levy | Statement: [Waist Deep, producer, Michael Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Levy Context triple: [Waist Deep, producer, Michael Levy]
-
A.
Matthew Levy
Matthew Levy is an actor known for his role in the television sitcom "Sons of Tucson."
-
B.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
C.
Thomas Levy
Thomas Levy is the fictional graduate student and long-distance runner protagonist of William Goldman’s thriller novel "Marathon Man."
-
D.
Alex Levy
Alex Levy is a prominent fictional television news anchor and co-host at a major morning show, portrayed by Jennifer Aniston in the drama series "The Morning Show."
-
E.
Benjamin Joseph Levin
Benjamin Joseph Levin, better known as Benny Blanco, is an American record producer, songwriter, and musician recognized for crafting numerous chart-topping pop hits for major artists.
- 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: Michael Levy Triple: [Waist Deep, producer, Michael Levy]
Generated description
Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Levy Target entity description: Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
-
A.
Matthew Levy
Matthew Levy is an actor known for his role in the television sitcom "Sons of Tucson."
-
B.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
C.
Thomas Levy
Thomas Levy is the fictional graduate student and long-distance runner protagonist of William Goldman’s thriller novel "Marathon Man."
-
D.
Alex Levy
Alex Levy is a prominent fictional television news anchor and co-host at a major morning show, portrayed by Jennifer Aniston in the drama series "The Morning Show."
-
E.
Benjamin Joseph Levin
Benjamin Joseph Levin, better known as Benny Blanco, is an American record producer, songwriter, and musician recognized for crafting numerous chart-topping pop hits for major artists.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0817bd88190a46e539f2ff24d83 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 9, 2026, 10:11 p.m.