Triple

T13702607
Position Surface form Disambiguated ID Type / Status
Subject Sheba, Baby E328556 entity
Predicate writtenBy P806 FINISHED
Object David Sheldon
David Sheldon was a screenwriter and filmmaker known for his work on 1970s exploitation and genre films, including the Pam Grier vehicle "Sheba, Baby."
E1055290 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 Sheldon | Statement: [Sheba, Baby, writtenBy, David Sheldon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Sheldon
Context triple: [Sheba, Baby, writtenBy, David Sheldon]
  • A. Michael Jude Byrnes
    Michael Jude Byrnes is an American Roman Catholic prelate who serves as the Archbishop of Agaña in Guam.
  • B. Danny Jacobson
    Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
  • C. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • D. Jason Shuman
    Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
  • E. Tim Mahoney
    Tim Mahoney is an American musician best known as the lead guitarist for the rock band 311.
  • 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 Sheldon
Triple: [Sheba, Baby, writtenBy, David Sheldon]
Generated description
David Sheldon was a screenwriter and filmmaker known for his work on 1970s exploitation and genre films, including the Pam Grier vehicle "Sheba, Baby."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Sheldon
Target entity description: David Sheldon was a screenwriter and filmmaker known for his work on 1970s exploitation and genre films, including the Pam Grier vehicle "Sheba, Baby."
  • A. Michael Jude Byrnes
    Michael Jude Byrnes is an American Roman Catholic prelate who serves as the Archbishop of Agaña in Guam.
  • B. Danny Jacobson
    Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
  • C. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • D. Jason Shuman
    Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
  • E. Tim Mahoney
    Tim Mahoney is an American musician best known as the lead guitarist for the rock band 311.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:54 p.m.