Triple
T19559417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Sobel |
E489402
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Sobel
Michael Sobel is the son of Ben Sobel, a character from the comedy film series "Analyze This" and "Analyze That."
|
E1515906
|
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 Sobel | Statement: [Ben Sobel, hasChild, Michael Sobel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sobel Context triple: [Ben Sobel, hasChild, Michael Sobel]
-
A.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
B.
Glen Sobel
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
C.
Curt Sobel
Curt Sobel is an American film composer and music editor known for his work on numerous movies and television projects.
-
D.
Ben Sobel
Ben Sobel is a neurotic psychiatrist who becomes entangled with a mob boss as his reluctant therapist in the comedy film "Analyze This."
-
E.
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
- 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 Sobel Triple: [Ben Sobel, hasChild, Michael Sobel]
Generated description
Michael Sobel is the son of Ben Sobel, a character from the comedy film series "Analyze This" and "Analyze That."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Sobel Target entity description: Michael Sobel is the son of Ben Sobel, a character from the comedy film series "Analyze This" and "Analyze That."
-
A.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
B.
Glen Sobel
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
C.
Curt Sobel
Curt Sobel is an American film composer and music editor known for his work on numerous movies and television projects.
-
D.
Ben Sobel
Ben Sobel is a neurotic psychiatrist who becomes entangled with a mob boss as his reluctant therapist in the comedy film "Analyze This."
-
E.
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b52a8208190973e38f7d4b0f684 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c6453908190a745827da3bc3037 |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 10, 2026, 1:42 p.m.