Triple

T2173078
Position Surface form Disambiguated ID Type / Status
Subject MASH E48466 entity
Predicate starring P1507 FINISHED
Object Roger Bowen
Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
E280652 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: Roger Bowen | Statement: [MASH, starring, Roger Bowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Bowen
Context triple: [MASH, starring, Roger Bowen]
  • A. David C. Robinson
    David C. Robinson is a mathematical physicist known for his contributions to general relativity, particularly in the study of black hole uniqueness theorems.
  • B. David M. Barkley
    David M. Barkley was the son of U.S. Vice President Alben W. Barkley and a member of the prominent Barkley political family.
  • C. Alan S. Boyd
    Alan S. Boyd was an American lawyer and public official who became the first U.S. Secretary of Transportation, helping to shape national transportation policy in the late 1960s.
  • D. Robert S. Boyer
    Robert S. Boyer is an American computer scientist and logician known for his pioneering work in automated theorem proving and formal methods in software verification.
  • E. Robert J. Wynne
    Robert J. Wynne was an American journalist and public official who served in senior federal financial and postal administration roles 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: Roger Bowen
Triple: [MASH, starring, Roger Bowen]
Generated description
Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roger Bowen
Target entity description: Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
  • A. David C. Robinson
    David C. Robinson is a mathematical physicist known for his contributions to general relativity, particularly in the study of black hole uniqueness theorems.
  • B. David M. Barkley
    David M. Barkley was the son of U.S. Vice President Alben W. Barkley and a member of the prominent Barkley political family.
  • C. Alan S. Boyd
    Alan S. Boyd was an American lawyer and public official who became the first U.S. Secretary of Transportation, helping to shape national transportation policy in the late 1960s.
  • D. Robert S. Boyer
    Robert S. Boyer is an American computer scientist and logician known for his pioneering work in automated theorem proving and formal methods in software verification.
  • E. Robert J. Wynne
    Robert J. Wynne was an American journalist and public official who served in senior federal financial and postal administration roles 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69af834e87b48190b3299c70a0679b47 completed March 10, 2026, 2:34 a.m.
NEDg Description generation batch_69af840b2fb881909755b06563b8c561 completed March 10, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69af8487bcac819085b6f5827a48696a completed March 10, 2026, 2:40 a.m.
Created at: March 4, 2026, 7:45 p.m.