Triple

T9987756
Position Surface form Disambiguated ID Type / Status
Subject Rambling Rose E196811 entity
Predicate editedBy P1954 FINISHED
Object Steven Cohen
Steven Cohen is a film editor known for his work on various feature films, including the drama "Rambling Rose."
E833075 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: Steven Cohen | Statement: [Rambling Rose, editedBy, Steven Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Cohen
Context triple: [Rambling Rose, editedBy, Steven Cohen]
  • A. Steve Cohen
    Steve Cohen is an American billionaire hedge fund manager and philanthropist who owns the New York Mets Major League Baseball team.
  • B. Henry Kravis
    Henry Kravis is an American billionaire businessman and co-founder of the private equity firm Kohlberg Kravis Roberts & Co. (KKR), known as a pioneer of leveraged buyouts.
  • C. Bruce Blankenfeld
    Bruce Blankenfeld is a Native Hawaiian navigator and captain renowned for his leadership in traditional Polynesian wayfinding voyages aboard the Hōkūleʻa and other double-hulled canoes.
  • D. Robert Kravis
    Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • E. Howard Lutnick
    Howard Lutnick is an American businessman best known as the longtime chairman and CEO who rebuilt the financial services firm Cantor Fitzgerald after the September 11 attacks.
  • 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: Steven Cohen
Triple: [Rambling Rose, editedBy, Steven Cohen]
Generated description
Steven Cohen is a film editor known for his work on various feature films, including the drama "Rambling Rose."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steven Cohen
Target entity description: Steven Cohen is a film editor known for his work on various feature films, including the drama "Rambling Rose."
  • A. Steve Cohen
    Steve Cohen is an American billionaire hedge fund manager and philanthropist who owns the New York Mets Major League Baseball team.
  • B. Henry Kravis
    Henry Kravis is an American billionaire businessman and co-founder of the private equity firm Kohlberg Kravis Roberts & Co. (KKR), known as a pioneer of leveraged buyouts.
  • C. Bruce Blankenfeld
    Bruce Blankenfeld is a Native Hawaiian navigator and captain renowned for his leadership in traditional Polynesian wayfinding voyages aboard the Hōkūleʻa and other double-hulled canoes.
  • D. Robert Kravis
    Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • E. Howard Lutnick
    Howard Lutnick is an American businessman best known as the longtime chairman and CEO who rebuilt the financial services firm Cantor Fitzgerald after the September 11 attacks.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79c8b80819091dc16ac8fd0c720 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d25810584c81908382cf6edd700530 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d258b875cc8190ae8b122f35aa5566 completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d2592b1f9c8190a9db928b9527e27b completed April 5, 2026, 12:44 p.m.
Created at: March 30, 2026, 8:50 p.m.