Triple

T6660713
Position Surface form Disambiguated ID Type / Status
Subject Mr. Skeffington E151467 entity
Predicate starring P1507 FINISHED
Object Richard Waring
Richard Waring was a British actor known for his supporting roles in mid-20th-century films and stage productions.
 E613702 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 Waring | Statement: [Mr. Skeffington, starring, Richard Waring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Waring
Context triple: [Mr. Skeffington, starring, Richard Waring]
  • A. Richard Wattis
    Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
  • B. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • C. David Wardle
    David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Richard Suckle
    Richard Suckle is an American film producer known for his work on major studio projects, including the DC superhero film "Wonder Woman" (2017).
  • 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 Waring
Triple: [Mr. Skeffington, starring, Richard Waring]
Generated description
Richard Waring was a British actor known for his supporting roles in mid-20th-century films and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Waring
Target entity description: Richard Waring was a British actor known for his supporting roles in mid-20th-century films and stage productions.
  • A. Richard Wattis
    Richard Wattis was a British character actor known for his dry, officious comedic roles in mid-20th-century films and television.
  • B. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • C. David Wardle
    David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Richard Suckle
    Richard Suckle is an American film producer known for his work on major studio projects, including the DC superhero film "Wonder Woman" (2017).
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0737cb08190ad455b48fd30eec8 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700755874819083cd0facebd7aa3d completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701be78cc8190a0848ea60908d129 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7021b27288190866aef500198479d completed March 27, 2026, 10:18 p.m.
Created at: March 27, 2026, 2:02 p.m.