Triple

T3065809
Position Surface form Disambiguated ID Type / Status
Subject Tracks E62101 entity
Predicate screenwriter P2831 FINISHED
Object Marion Nelson
Marion Nelson is a screenwriter known for writing the screenplay for the film "Tracks."
E360352 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: Marion Nelson | Statement: [Tracks, screenwriter, Marion Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion Nelson
Context triple: [Tracks, screenwriter, Marion Nelson]
  • A. Nancy Louise Macon
    Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
  • B. Susan Holbert McDaniel
    Susan Holbert McDaniel was the mother of pioneering African American actress Hattie McDaniel, the first Black performer to win an Academy Award.
  • C. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • D. Ruth Cunningham
    Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
  • E. Mary C. McCall Jr.
    Mary C. McCall Jr. was a pioneering American screenwriter and one of the first female presidents of the Screen Writers Guild, known for her work in Hollywood during the 1930s and 1940s.
  • 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: Marion Nelson
Triple: [Tracks, screenwriter, Marion Nelson]
Generated description
Marion Nelson is a screenwriter known for writing the screenplay for the film "Tracks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marion Nelson
Target entity description: Marion Nelson is a screenwriter known for writing the screenplay for the film "Tracks."
  • A. Nancy Louise Macon
    Nancy Louise Macon is known for serving as the sponsor of the U.S. Navy battleship USS Arkansas.
  • B. Susan Holbert McDaniel
    Susan Holbert McDaniel was the mother of pioneering African American actress Hattie McDaniel, the first Black performer to win an Academy Award.
  • C. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • D. Ruth Cunningham
    Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
  • E. Mary C. McCall Jr.
    Mary C. McCall Jr. was a pioneering American screenwriter and one of the first female presidents of the Screen Writers Guild, known for her work in Hollywood during the 1930s and 1940s.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fc01dc81908fbdf7c1ef73afe4 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e2fbb8819084e01920d2a37b80 completed March 13, 2026, 1:26 a.m.
NEDg Description generation batch_69b36888570c819097e801e76a4e14ac completed March 13, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69b368f5e92c8190893929d2ed0f5c6a completed March 13, 2026, 1:31 a.m.
Created at: March 8, 2026, 3:02 p.m.