Triple
T13838848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Monday |
E332597
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Amy York Rubin
Amy York Rubin is a television writer, director, and producer known for her work on comedy series including serving as an executive producer on the show "Black Monday."
|
E1063780
|
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: Amy York Rubin | Statement: [Black Monday, executiveProducer, Amy York Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy York Rubin Context triple: [Black Monday, executiveProducer, Amy York Rubin]
-
A.
Shelly Rubin
Shelly Rubin is an American philanthropist and arts patron best known as a co-founder of the Rubin Museum of Art in New York City.
-
B.
Amy Eisenberg
Amy Eisenberg is a member of the Eisenberg family, known publicly as a relative of actress Hallie Kate Eisenberg.
-
C.
Amy Yasbeck
Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
-
D.
Amy Stechler
Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
-
E.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
- 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: Amy York Rubin Triple: [Black Monday, executiveProducer, Amy York Rubin]
Generated description
Amy York Rubin is a television writer, director, and producer known for her work on comedy series including serving as an executive producer on the show "Black Monday."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amy York Rubin Target entity description: Amy York Rubin is a television writer, director, and producer known for her work on comedy series including serving as an executive producer on the show "Black Monday."
-
A.
Shelly Rubin
Shelly Rubin is an American philanthropist and arts patron best known as a co-founder of the Rubin Museum of Art in New York City.
-
B.
Amy Eisenberg
Amy Eisenberg is a member of the Eisenberg family, known publicly as a relative of actress Hallie Kate Eisenberg.
-
C.
Amy Yasbeck
Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
-
D.
Amy Stechler
Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
-
E.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7bb3bb7288190b981a9439304124d |
completed | May 3, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbac5a148190990ac56759e527cd |
completed | May 3, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:13 p.m.