Triple

T661060
Position Surface form Disambiguated ID Type / Status
Subject Hell on Wheels E11755 entity
Predicate executiveProducer P7225 FINISHED
Object Michael Rosenberg
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
E202573 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 Rosenberg | Statement: [Hell on Wheels, executiveProducer, Michael Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Rosenberg
Context triple: [Hell on Wheels, executiveProducer, Michael Rosenberg]
  • A. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • B. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • C. Michael Rotenberg
    Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
  • D. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • E. Henry Moskowitz
    Henry Moskowitz was an American civil rights activist and social reformer who helped establish the NAACP and worked extensively to combat racial discrimination and promote social justice in the early 20th century.
  • 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 Rosenberg
Triple: [Hell on Wheels, executiveProducer, Michael Rosenberg]
Generated description
Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Rosenberg
Target entity description: Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
  • A. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • B. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • C. Michael Rotenberg
    Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
  • D. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • E. Henry Moskowitz
    Henry Moskowitz was an American civil rights activist and social reformer who helped establish the NAACP and worked extensively to combat racial discrimination and promote social justice in the early 20th century.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa954988190841740a587ace466 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a4db2c8190830f3b2a707a3d32 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb9b262048190a4382a86f1c8f192 completed March 8, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69adba2484b48190a712f29f87f9e45e completed March 8, 2026, 6:04 p.m.
Created at: March 1, 2026, 7:36 p.m.