Triple

T10737548
Position Surface form Disambiguated ID Type / Status
Subject Chalet Girl E253231 entity
Predicate producer P490 FINISHED
Object Will Clarke
Will Clarke is a film producer best known for his work on the British romantic comedy "Chalet Girl."
 E883702 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: Will Clarke | Statement: [Chalet Girl, producer, Will Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Will Clarke
Context triple: [Chalet Girl, producer, Will Clarke]
  • A. Brian Clarke
    Brian Clarke is a British artist and leading contemporary stained glass designer known for his innovative architectural glass works and collaborations with prominent cultural figures.
  • B. John Sleeper Clarke
    John Sleeper Clarke was a 19th-century American comic actor and theater manager, known for his successful stage career in both the United States and England.
  • C. Andrew Clark
    Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. Ed Clarke
    Ed Clarke is a sound designer known for his work on major theatre productions, including the National Theatre staging of "Frankenstein."
  • E. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • 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: Will Clarke
Triple: [Chalet Girl, producer, Will Clarke]
Generated description
Will Clarke is a film producer best known for his work on the British romantic comedy "Chalet Girl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Will Clarke
Target entity description: Will Clarke is a film producer best known for his work on the British romantic comedy "Chalet Girl."
  • A. Brian Clarke
    Brian Clarke is a British artist and leading contemporary stained glass designer known for his innovative architectural glass works and collaborations with prominent cultural figures.
  • B. John Sleeper Clarke
    John Sleeper Clarke was a 19th-century American comic actor and theater manager, known for his successful stage career in both the United States and England.
  • C. Andrew Clark
    Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. Ed Clarke
    Ed Clarke is a sound designer known for his work on major theatre productions, including the National Theatre staging of "Frankenstein."
  • E. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22dce1cc8190a3511d86e8bd6d3e completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.