Triple

T11235261
Position Surface form Disambiguated ID Type / Status
Subject Tess E265925 entity
Predicate starring P1507 FINISHED
Object John Collin
John Collin was a British actor known for his work in film and television during the mid-20th century.
E913110 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: John Collin | Statement: [Tess, starring, John Collin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Collin
Context triple: [Tess, starring, John Collin]
  • A. Grant Collier
    Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
  • B. Wilson Collison
    Wilson Collison was an American playwright and novelist whose works, often adapted for stage and screen, contributed to early 20th-century popular entertainment.
  • C. James Collinson
    James Collinson was a 19th-century English painter associated with the Pre-Raphaelite Brotherhood and early Victorian art circles.
  • D. Nicholas John Collison
    Nicholas John Collison is a retired American professional basketball player best known for his long tenure as a dependable forward with the Seattle SuperSonics/Oklahoma City Thunder in the NBA.
  • E. Charles Collens
    Charles Collens was an American architect best known for his work on prominent Gothic Revival structures, including major churches and academic buildings in the early 20th century.
  • 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: John Collin
Triple: [Tess, starring, John Collin]
Generated description
John Collin was a British actor known for his work in film and television during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Collin
Target entity description: John Collin was a British actor known for his work in film and television during the mid-20th century.
  • A. Grant Collier
    Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
  • B. Wilson Collison
    Wilson Collison was an American playwright and novelist whose works, often adapted for stage and screen, contributed to early 20th-century popular entertainment.
  • C. James Collinson
    James Collinson was a 19th-century English painter associated with the Pre-Raphaelite Brotherhood and early Victorian art circles.
  • D. Nicholas John Collison
    Nicholas John Collison is a retired American professional basketball player best known for his long tenure as a dependable forward with the Seattle SuperSonics/Oklahoma City Thunder in the NBA.
  • E. Charles Collens
    Charles Collens was an American architect best known for his work on prominent Gothic Revival structures, including major churches and academic buildings in the early 20th century.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad56013481909f931505824e3b42 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.