Triple

T14975495
Position Surface form Disambiguated ID Type / Status
Subject Norman Maine E373434 entity
Predicate creator P184 FINISHED
Object Alan Campbell
Alan Campbell is a writer best known for his work in film and theater, including screenwriting and playwriting.
 E497887 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: Alan Campbell | Statement: [Norman Maine, creator, Alan Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alan Campbell
Context triple: [Norman Maine, creator, Alan Campbell]
  • A. Alan Campbell
    Alan Campbell was an American screenwriter best known for his collaborations with his wife Dorothy Parker on classic Hollywood films in the 1930s and 1940s.
  • B. David Campbell
    David Campbell is an Australian composer, arranger, and conductor renowned for his extensive work on film scores and orchestral arrangements.
  • C. David Campbell
    David Campbell was a historical figure of regional significance in Tennessee, commemorated as the namesake of the community of Campbell’s Station.
  • D. Duncan Campbell
    Duncan Campbell is a British journalist and writer best known for his investigative reporting and his long-term marriage to actress Julie Christie.
  • E. Jimmy Campbell
    Jimmy Campbell was a British songwriter best known for co-writing the popular standard "Try a Little Tenderness" and other songs of 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: Alan Campbell
Triple: [Norman Maine, creator, Alan Campbell]
Generated description
Alan Campbell is a writer best known for his work in film and theater, including screenwriting and playwriting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alan Campbell
Target entity description: Alan Campbell is a writer best known for his work in film and theater, including screenwriting and playwriting.
  • A. Alan Campbell chosen
    Alan Campbell was an American screenwriter best known for his collaborations with his wife Dorothy Parker on classic Hollywood films in the 1930s and 1940s.
  • B. David Campbell
    David Campbell was a historical figure of regional significance in Tennessee, commemorated as the namesake of the community of Campbell’s Station.
  • C. David Campbell
    David Campbell is an Australian composer, arranger, and conductor renowned for his extensive work on film scores and orchestral arrangements.
  • D. Duncan Campbell
    Duncan Campbell is a British journalist and writer best known for his investigative reporting and his long-term marriage to actress Julie Christie.
  • E. Jimmy Campbell
    Jimmy Campbell was a British songwriter best known for co-writing the popular standard "Try a Little Tenderness" and other songs of the early 20th century.
  • F. None of above.

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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0652dc8190a90a1c3b07a6ed94 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb14a2e748190b47fa4300b43f572 completed May 9, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69feb2555cf8819095fbbb90f3172e2f completed May 9, 2026, 4:04 a.m.
Created at: April 10, 2026, 2:51 a.m.