Triple

T15385676
Position Surface form Disambiguated ID Type / Status
Subject Red, White and Blue E367909 entity
Predicate producer P490 FINISHED
Object David Tanner
David Tanner is a film and television producer best known for his work on the British drama series "Red, White and Blue."
 E1154671 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: David Tanner | Statement: [Red, White and Blue, producer, David Tanner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Tanner
Context triple: [Red, White and Blue, producer, David Tanner]
  • A. Jack Tanner
    Jack Tanner is the radical, free-thinking protagonist of George Bernard Shaw's play "Man and Superman," known for his iconoclastic views on politics, marriage, and social conventions.
  • B. Marc Tanner
    Marc Tanner is a music producer and songwriter known for his work on various rock and pop albums, including projects like "After the Rain."
  • C. Chuck Tanner
    Chuck Tanner was an American Major League Baseball manager best known for leading the Pittsburgh Pirates to a World Series championship in 1979.
  • D. Peter Tanner
    Peter Tanner was a British film editor known for his work on numerous feature films, including the Vietnam War drama "Hamburger Hill."
  • E. Trevor Gardner
    Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
  • 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: David Tanner
Triple: [Red, White and Blue, producer, David Tanner]
Generated description
David Tanner is a film and television producer best known for his work on the British drama series "Red, White and Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Tanner
Target entity description: David Tanner is a film and television producer best known for his work on the British drama series "Red, White and Blue."
  • A. Jack Tanner
    Jack Tanner is the radical, free-thinking protagonist of George Bernard Shaw's play "Man and Superman," known for his iconoclastic views on politics, marriage, and social conventions.
  • B. Marc Tanner
    Marc Tanner is a music producer and songwriter known for his work on various rock and pop albums, including projects like "After the Rain."
  • C. Chuck Tanner
    Chuck Tanner was an American Major League Baseball manager best known for leading the Pittsburgh Pirates to a World Series championship in 1979.
  • D. Peter Tanner
    Peter Tanner was a British film editor known for his work on numerous feature films, including the Vietnam War drama "Hamburger Hill."
  • E. Trevor Gardner
    Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.