Triple

T6591211
Position Surface form Disambiguated ID Type / Status
Subject Gregory Walcott E159361 entity
Predicate notableWork P4 FINISHED
Object Prime Cut
Prime Cut is a 1972 American crime film known for its gritty depiction of Midwestern organized crime and its cast including Lee Marvin and Gene Hackman.
 E599628 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: Prime Cut | Statement: [Gregory Walcott, notableWork, Prime Cut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prime Cut
Context triple: [Gregory Walcott, notableWork, Prime Cut]
  • A. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • B. The Cut
    The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
  • C. In the Cut
    In the Cut is a 2003 neo-noir erotic thriller film directed by Jane Campion, known for its gritty exploration of female sexuality and urban violence in contemporary New York City.
  • D. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • E. PIE
    PIE is the three-letter FAA airport code for St. Pete–Clearwater International Airport serving the Tampa Bay area in Florida.
  • 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: Prime Cut
Triple: [Gregory Walcott, notableWork, Prime Cut]
Generated description
Prime Cut is a 1972 American crime film known for its gritty depiction of Midwestern organized crime and its cast including Lee Marvin and Gene Hackman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prime Cut
Target entity description: Prime Cut is a 1972 American crime film known for its gritty depiction of Midwestern organized crime and its cast including Lee Marvin and Gene Hackman.
  • A. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • B. The Cut
    The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
  • C. In the Cut
    In the Cut is a 2003 neo-noir erotic thriller film directed by Jane Campion, known for its gritty exploration of female sexuality and urban violence in contemporary New York City.
  • D. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • E. PIE
    PIE is the three-letter FAA airport code for St. Pete–Clearwater International Airport serving the Tampa Bay area in Florida.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aecc969c81909a6e15ebe8dd3f94 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbb568508190b9da3475d1620ed5 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd08a9c88190a481d4d3f8e680bf completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc859cc8190bbae2efc39409021 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:55 p.m.