Triple
T4035341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fish in the Dark |
E83814
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ben Shenkman
Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
|
E509260
|
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: Ben Shenkman | Statement: [Fish in the Dark, hasCastMember, Ben Shenkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Shenkman Context triple: [Fish in the Dark, hasCastMember, Ben Shenkman]
-
A.
Greg Shenkman
Greg Shenkman is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
B.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
C.
Ali Weinberg
Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
-
D.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
E.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
- 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: Ben Shenkman Triple: [Fish in the Dark, hasCastMember, Ben Shenkman]
Generated description
Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Shenkman Target entity description: Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
-
A.
Greg Shenkman
Greg Shenkman is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
B.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
C.
Ali Weinberg
Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
-
D.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
E.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06886d748190b346a1f4cc2b6f10 |
completed | March 21, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_69bf09e14dac8190b71f77c74463ba35 |
completed | March 21, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a31e2f881909fd9baa9a28ae343 |
completed | March 21, 2026, 9:14 p.m. |
Created at: March 9, 2026, 3:36 p.m.