Triple

T1736445
Position Surface form Disambiguated ID Type / Status
Subject Chariots of Fire E37929 entity
Predicate writer P1360 FINISHED
Object Colin Welland
Colin Welland was an English actor and screenwriter best known for winning the Academy Award for Best Original Screenplay for the film "Chariots of Fire."
E194438 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: Colin Welland | Statement: [Chariots of Fire, writer, Colin Welland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colin Welland
Context triple: [Chariots of Fire, writer, Colin Welland]
  • A. Peter Cloyce
    Peter Cloyce was a 17th-century Massachusetts resident known primarily as the husband of accused Salem witch trial victim Sarah Cloyce.
  • B. Mark Phillips
    Mark Phillips is a British former Olympic equestrian and army officer best known for his marriage to Anne, Princess Royal.
  • C. Nigel Davenport
    Nigel Davenport was a distinguished English actor known for his work in film, television, and theatre from the 1950s through the 1990s.
  • D. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • E. Nigel Holmes
    Nigel Holmes is a British-born graphic designer and information graphics specialist known for his influential work in explanatory and data visualization design.
  • 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: Colin Welland
Triple: [Chariots of Fire, writer, Colin Welland]
Generated description
Colin Welland was an English actor and screenwriter best known for winning the Academy Award for Best Original Screenplay for the film "Chariots of Fire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colin Welland
Target entity description: Colin Welland was an English actor and screenwriter best known for winning the Academy Award for Best Original Screenplay for the film "Chariots of Fire."
  • A. Peter Cloyce
    Peter Cloyce was a 17th-century Massachusetts resident known primarily as the husband of accused Salem witch trial victim Sarah Cloyce.
  • B. Mark Phillips
    Mark Phillips is a British former Olympic equestrian and army officer best known for his marriage to Anne, Princess Royal.
  • C. Nigel Davenport
    Nigel Davenport was a distinguished English actor known for his work in film, television, and theatre from the 1950s through the 1990s.
  • D. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • E. Nigel Holmes
    Nigel Holmes is a British-born graphic designer and information graphics specialist known for his influential work in explanatory and data visualization design.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a369048190bae352573f5082f1 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b008b7881909ac568af010bcf99 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad979dc1dc81908b64e57298ae6017 completed March 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69ad9836f4c8819098ba033b5f0d2a33 completed March 8, 2026, 3:39 p.m.
Created at: March 4, 2026, 7:30 p.m.