Triple

T7950648
Position Surface form Disambiguated ID Type / Status
Subject Any Given Sunday E184604 entity
Predicate producer P490 FINISHED
Object Dan Halsted
Dan Halsted is a film producer known for his work on major Hollywood projects, including the sports drama "Any Given Sunday."
 E704997 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: Dan Halsted | Statement: [Any Given Sunday, producer, Dan Halsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Halsted
Context triple: [Any Given Sunday, producer, Dan Halsted]
  • A. John W. Harvey
    John W. Harvey is an astronomer recognized for his significant contributions to solar physics and helioseismology, for which he received the prestigious George Ellery Hale Prize.
  • B. James Addison Halsted
    James Addison Halsted was the third husband of Anna Roosevelt Halsted, the daughter of U.S. President Franklin D. Roosevelt and Eleanor Roosevelt.
  • C. William Halstead
    William Halstead was a 19th-century American politician who served multiple terms as a U.S. Representative from New Jersey.
  • D. George Kassabaum
    George Kassabaum was an American architect and co-founder of the global design and architecture firm HOK.
  • E. Theodore Herman Jewett
    Theodore Herman Jewett was a 19th-century New England physician best known as the father of American regionalist author Sarah Orne Jewett.
  • 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: Dan Halsted
Triple: [Any Given Sunday, producer, Dan Halsted]
Generated description
Dan Halsted is a film producer known for his work on major Hollywood projects, including the sports drama "Any Given Sunday."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Halsted
Target entity description: Dan Halsted is a film producer known for his work on major Hollywood projects, including the sports drama "Any Given Sunday."
  • A. John W. Harvey
    John W. Harvey is an astronomer recognized for his significant contributions to solar physics and helioseismology, for which he received the prestigious George Ellery Hale Prize.
  • B. James Addison Halsted
    James Addison Halsted was the third husband of Anna Roosevelt Halsted, the daughter of U.S. President Franklin D. Roosevelt and Eleanor Roosevelt.
  • C. William Halstead
    William Halstead was a 19th-century American politician who served multiple terms as a U.S. Representative from New Jersey.
  • D. George Kassabaum
    George Kassabaum was an American architect and co-founder of the global design and architecture firm HOK.
  • E. Theodore Herman Jewett
    Theodore Herman Jewett was a 19th-century New England physician best known as the father of American regionalist author Sarah Orne Jewett.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5b7450819091e4e6f21e9d832d completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe04872ec819090819899ed8dfc80 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:10 p.m.