Triple

T11465049
Position Surface form Disambiguated ID Type / Status
Subject The Miracle Worker E271759 entity
Predicate producer P490 FINISHED
Object Fred Coe
Fred Coe was an influential American television and film producer, often credited as a pioneer of live TV drama during the 1950s.
 E927928 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: Fred Coe | Statement: [The Miracle Worker, producer, Fred Coe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fred Coe
Context triple: [The Miracle Worker, producer, Fred Coe]
  • A. Bill Coen
    Bill Coen is an American college basketball coach best known for leading the Northeastern University men's basketball program.
  • B. George Coe
    George Coe was an American actor and voice artist known for his work in film, television, and theater, including being part of the original Saturday Night Live cast.
  • C. Frank Cooley
    Frank Cooley was an early American film actor known for his roles in silent-era productions, including D.W. Griffith’s classic melodrama "Way Down East."
  • D. Jon Cooksey
    Jon Cooksey is a television and film writer best known for co-writing the popular Disney Channel movie "Halloweentown."
  • E. Art Cooley
    Art Cooley was an American environmentalist and educator best known as a co-founder of the Environmental Defense Fund, a leading organization in modern environmental advocacy.
  • 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: Fred Coe
Triple: [The Miracle Worker, producer, Fred Coe]
Generated description
Fred Coe was an influential American television and film producer, often credited as a pioneer of live TV drama during the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fred Coe
Target entity description: Fred Coe was an influential American television and film producer, often credited as a pioneer of live TV drama during the 1950s.
  • A. Bill Coen
    Bill Coen is an American college basketball coach best known for leading the Northeastern University men's basketball program.
  • B. George Coe
    George Coe was an American actor and voice artist known for his work in film, television, and theater, including being part of the original Saturday Night Live cast.
  • C. Frank Cooley
    Frank Cooley was an early American film actor known for his roles in silent-era productions, including D.W. Griffith’s classic melodrama "Way Down East."
  • D. Jon Cooksey
    Jon Cooksey is a television and film writer best known for co-writing the popular Disney Channel movie "Halloweentown."
  • E. Art Cooley
    Art Cooley was an American environmentalist and educator best known as a co-founder of the Environmental Defense Fund, a leading organization in modern environmental advocacy.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.