Triple
T9759459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny (1961 film) |
E236632
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ben Kadish
Ben Kadish was a film producer active in mid-20th-century American cinema, notably involved in the production of the 1961 musical film "Fanny."
|
E851267
|
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 Kadish | Statement: [Fanny (1961 film), producer, Ben Kadish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Kadish Context triple: [Fanny (1961 film), producer, Ben Kadish]
-
A.
Marty Adelstein
Marty Adelstein is an American television producer and executive known for developing and producing numerous popular TV series.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
D.
Israel Iskowitz
Israel Iskowitz was the birth name of Eddie Cantor, a famous American comedian, singer, actor, and radio and film star of the early 20th century.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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 Kadish Triple: [Fanny (1961 film), producer, Ben Kadish]
Generated description
Ben Kadish was a film producer active in mid-20th-century American cinema, notably involved in the production of the 1961 musical film "Fanny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Kadish Target entity description: Ben Kadish was a film producer active in mid-20th-century American cinema, notably involved in the production of the 1961 musical film "Fanny."
-
A.
Marty Adelstein
Marty Adelstein is an American television producer and executive known for developing and producing numerous popular TV series.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
D.
Israel Iskowitz
Israel Iskowitz was the birth name of Eddie Cantor, a famous American comedian, singer, actor, and radio and film star of the early 20th century.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f69ad0448190a2f472555384f0be |
completed | April 9, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69d6fa2bb2ec8190aa099988a6c225eb |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd10dbc08190a297073e1b737566 |
completed | April 9, 2026, 1:12 a.m. |
Created at: March 30, 2026, 8:24 p.m.