Triple

T23487718
Position Surface form Disambiguated ID Type / Status
Subject Ken Foree E570580 entity
Predicate appearedIn P795 FINISHED
Object The Stylist
The Stylist is a 2020 psychological horror film about a lonely hairstylist whose obsession with her clients turns deadly.
E1587609 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: The Stylist | Statement: [Ken Foree, appearedIn, The Stylist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stylist
Context triple: [Ken Foree, appearedIn, The Stylist]
  • A. The Seven Stylists
    The Seven Stylists were a comedic musical act featured as performers in the 1937 film "Love and Hisses."
  • B. Styler
    Styler is the surname of English film producer, actress, and environmental activist Trudie Styler.
  • C. The Hair Buyer
    The Hair Buyer is a character from the musical "Hamilton," known for purchasing Eliza Hamilton’s hair in the song "Burn."
  • D. House of Style
    House of Style was an MTV fashion and pop culture television series that spotlighted models, designers, and trends, helping to popularize the world of high fashion for a mainstream audience.
  • E. Stylish Star
    Stylish Star is the popular fan-given nickname of Indian film actor Allu Arjun, celebrated for his charismatic screen presence and distinctive fashion sense in Telugu cinema.
  • 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: The Stylist
Triple: [Ken Foree, appearedIn, The Stylist]
Generated description
The Stylist is a 2020 psychological horror film about a lonely hairstylist whose obsession with her clients turns deadly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Stylist
Target entity description: The Stylist is a 2020 psychological horror film about a lonely hairstylist whose obsession with her clients turns deadly.
  • A. The Seven Stylists
    The Seven Stylists were a comedic musical act featured as performers in the 1937 film "Love and Hisses."
  • B. Styler
    Styler is the surname of English film producer, actress, and environmental activist Trudie Styler.
  • C. The Hair Buyer
    The Hair Buyer is a character from the musical "Hamilton," known for purchasing Eliza Hamilton’s hair in the song "Burn."
  • D. House of Style
    House of Style was an MTV fashion and pop culture television series that spotlighted models, designers, and trends, helping to popularize the world of high fashion for a mainstream audience.
  • E. Stylish Star
    Stylish Star is the popular fan-given nickname of Indian film actor Allu Arjun, celebrated for his charismatic screen presence and distinctive fashion sense in Telugu cinema.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c826c2cb88190962f0c032cf4d2ec completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6f159488190bcde44676ddce593 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca754878c8190a918fa3b349fd970 completed May 19, 2026, 6:09 p.m.
Created at: April 17, 2026, 6:04 p.m.