Triple

T5092166
Position Surface form Disambiguated ID Type / Status
Subject Sid and Nancy E114775 entity
Predicate editor P1954 FINISHED
Object David Martin
David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
 E492602 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 Martin | Statement: [Sid and Nancy, editor, David Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Martin
Context triple: [Sid and Nancy, editor, David Martin]
  • A. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • B. Stephen Glenn Martin
    Stephen Glenn Martin is an American comedian, actor, writer, musician, and producer renowned for his stand-up comedy, film roles, and banjo performances.
  • C. Ron Martin
    Ron Martin is a British businessman best known for his long and controversial tenure as chairman and owner of Southend United Football Club.
  • D. Peter D. Martin
    Peter D. Martin was an American writer, academic, and publisher best known as the co-founder of San Francisco’s influential City Lights Bookstore and its associated publishing house.
  • E. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • 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 Martin
Triple: [Sid and Nancy, editor, David Martin]
Generated description
David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Martin
Target entity description: David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
  • A. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • B. Stephen Glenn Martin
    Stephen Glenn Martin is an American comedian, actor, writer, musician, and producer renowned for his stand-up comedy, film roles, and banjo performances.
  • C. Ron Martin
    Ron Martin is a British businessman best known for his long and controversial tenure as chairman and owner of Southend United Football Club.
  • D. Peter D. Martin
    Peter D. Martin was an American writer, academic, and publisher best known as the co-founder of San Francisco’s influential City Lights Bookstore and its associated publishing house.
  • E. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14d1ea88190b8bc523ff44478f6 completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb252ca2c8190b1bf7978b50c7ef6 completed March 21, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69beb2b989788190b81e6f60398bd49d completed March 21, 2026, 3:01 p.m.
Created at: March 20, 2026, 1:40 p.m.