Triple

T17632230
Position Surface form Disambiguated ID Type / Status
Subject Mr. and Mrs. Bridge (film) E430004 entity
Predicate castMember P1668 FINISHED
Object Remak Ramsay
Remak Ramsay is an American actor known for his work in film, television, and theater, including roles in literary adaptations and period dramas.
E1279177 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: Remak Ramsay | Statement: [Mr. and Mrs. Bridge (film), castMember, Remak Ramsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remak Ramsay
Context triple: [Mr. and Mrs. Bridge (film), castMember, Remak Ramsay]
  • A. Frank Ramseyer
    Frank Ramseyer was an early husband of Katherine "Kitty" Oppenheimer, who later became known as the wife of physicist J. Robert Oppenheimer.
  • B. Stanley Fraser
    Stanley Fraser was an actor known for appearing in mid-20th-century films, including the 1953 horror movie "The Maze."
  • C. Radclyffe Cadman
    Radclyffe Cadman was a political figure known for establishing the New Republic Party.
  • D. Red Holloway
    Red Holloway was an American jazz saxophonist known for his soulful, blues-infused style and collaborations with many leading organists and bandleaders.
  • E. Andrew Handyside
    Andrew Handyside was a 19th-century British iron founder and engineer best known for producing cast-iron structures such as bridges, railway stations, and ornamental ironwork.
  • 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: Remak Ramsay
Triple: [Mr. and Mrs. Bridge (film), castMember, Remak Ramsay]
Generated description
Remak Ramsay is an American actor known for his work in film, television, and theater, including roles in literary adaptations and period dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Remak Ramsay
Target entity description: Remak Ramsay is an American actor known for his work in film, television, and theater, including roles in literary adaptations and period dramas.
  • A. Frank Ramseyer
    Frank Ramseyer was an early husband of Katherine "Kitty" Oppenheimer, who later became known as the wife of physicist J. Robert Oppenheimer.
  • B. Stanley Fraser
    Stanley Fraser was an actor known for appearing in mid-20th-century films, including the 1953 horror movie "The Maze."
  • C. Radclyffe Cadman
    Radclyffe Cadman was a political figure known for establishing the New Republic Party.
  • D. Red Holloway
    Red Holloway was an American jazz saxophonist known for his soulful, blues-infused style and collaborations with many leading organists and bandleaders.
  • E. Andrew Handyside
    Andrew Handyside was a 19th-century British iron founder and engineer best known for producing cast-iron structures such as bridges, railway stations, and ornamental ironwork.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a9d79c8819089e2db35ee4d02f7 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b6fc2908190a2e4c54f20f1fa1f completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bf5d45c819097fc5a516587263c completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 5:52 a.m.