Triple

T9947208
Position Surface form Disambiguated ID Type / Status
Subject The True Knot E195232 entity
Predicate hasMember P10 FINISHED
Object Grampa Flick
Grampa Flick is a senior and sadistic member of the vampiric psychic cult known as the True Knot in Stephen King’s novel "Doctor Sleep."
 E830156 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: Grampa Flick | Statement: [The True Knot, hasMember, Grampa Flick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grampa Flick
Context triple: [The True Knot, hasMember, Grampa Flick]
  • A. Grandpa Joe
    Grandpa Joe is Charlie Bucket’s elderly, spirited grandfather who joins him on the fantastical tour of Willy Wonka’s chocolate factory in the 2005 film adaptation.
  • B. Woodie
    Woodie is a central character known for embodying the laid-back, carefree spirit associated with "good vibes."
  • C. Uncle Bob
    Uncle Bob is the nickname of Robert C. Martin, a prominent software engineer and author known for his influential work on clean code practices and agile software development.
  • D. Uncle Bob
    "Uncle Bob" is a theatrical work associated with actor, director, and playwright Austin Pendleton.
  • E. Irwin Keyes
    Irwin Keyes was an American character actor best known for his imposing physique and roles in films and TV shows such as "The Jeffersons" and various horror and comedy movies.
  • 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: Grampa Flick
Triple: [The True Knot, hasMember, Grampa Flick]
Generated description
Grampa Flick is a senior and sadistic member of the vampiric psychic cult known as the True Knot in Stephen King’s novel "Doctor Sleep."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grampa Flick
Target entity description: Grampa Flick is a senior and sadistic member of the vampiric psychic cult known as the True Knot in Stephen King’s novel "Doctor Sleep."
  • A. Grandpa Joe
    Grandpa Joe is Charlie Bucket’s elderly, spirited grandfather who joins him on the fantastical tour of Willy Wonka’s chocolate factory in the 2005 film adaptation.
  • B. Woodie
    Woodie is a central character known for embodying the laid-back, carefree spirit associated with "good vibes."
  • C. Uncle Bob
    Uncle Bob is the nickname of Robert C. Martin, a prominent software engineer and author known for his influential work on clean code practices and agile software development.
  • D. Uncle Bob
    "Uncle Bob" is a theatrical work associated with actor, director, and playwright Austin Pendleton.
  • E. Irwin Keyes
    Irwin Keyes was an American character actor best known for his imposing physique and roles in films and TV shows such as "The Jeffersons" and various horror and comedy movies.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb657b35c81909448e93999f6e77c completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2292257bc8190b3a15de60d7c9ba2 completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d229b3b200819083aa90f64eaec9e8 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a2d14fc8190b2493ce571811d43 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:45 p.m.