Triple

T7355114
Position Surface form Disambiguated ID Type / Status
Subject Passenger 57 E169602 entity
Predicate editedBy P1954 FINISHED
Object Richard Nord
Richard Nord is a film editor known for his work on action movies, including the 1992 Wesley Snipes thriller "Passenger 57."
E658662 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: Richard Nord | Statement: [Passenger 57, editedBy, Richard Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Nord
Context triple: [Passenger 57, editedBy, Richard Nord]
  • A. Robert Levine
    Robert Levine is an American cardiologist best known as the husband of actress Mary Tyler Moore.
  • B. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • C. Peter Bergman
    Peter Bergman is an American soap opera actor best known for his long-running role as Jack Abbott on the daytime drama "The Young and the Restless."
  • D. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • E. Robert Kazinsky
    Robert Kazinsky is a British actor best known for his roles in the TV series "EastEnders" and "True Blood," as well as in films such as "Pacific Rim" and "Warcraft."
  • 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: Richard Nord
Triple: [Passenger 57, editedBy, Richard Nord]
Generated description
Richard Nord is a film editor known for his work on action movies, including the 1992 Wesley Snipes thriller "Passenger 57."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Nord
Target entity description: Richard Nord is a film editor known for his work on action movies, including the 1992 Wesley Snipes thriller "Passenger 57."
  • A. Robert Levine
    Robert Levine is an American cardiologist best known as the husband of actress Mary Tyler Moore.
  • B. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • C. Peter Bergman
    Peter Bergman is an American soap opera actor best known for his long-running role as Jack Abbott on the daytime drama "The Young and the Restless."
  • D. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • E. Robert Kazinsky
    Robert Kazinsky is a British actor best known for his roles in the TV series "EastEnders" and "True Blood," as well as in films such as "Pacific Rim" and "Warcraft."
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fc2c90488190bd3aa5bf72606723 completed March 28, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb5f7f0819081e70f8809bb34ae completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:05 p.m.