Triple

T4610020
Position Surface form Disambiguated ID Type / Status
Subject Bedroom Farce E100530 entity
Predicate character P662 FINISHED
Object Nick
Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
 E456236 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: Nick | Statement: [Bedroom Farce, character, Nick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nick
Context triple: [Bedroom Farce, character, Nick]
  • A. Nick
    Nick is the NATO reporting name for the Japanese World War II twin-engine heavy fighter aircraft Kawasaki Ki-45.
  • B. Nick
    Nick is the shortened name of Nearly Headless Nick, the ghost of Gryffindor House in the Harry Potter series.
  • C. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • D. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • E. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • 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: Nick
Triple: [Bedroom Farce, character, Nick]
Generated description
Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nick
Target entity description: Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
  • A. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • B. Nick
    Nick is the NATO reporting name for the Japanese World War II twin-engine heavy fighter aircraft Kawasaki Ki-45.
  • C. Nick
    Nick is the shortened name of Nearly Headless Nick, the ghost of Gryffindor House in the Harry Potter series.
  • D. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • E. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59be3300819095e548b488c8f75e completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa7e918881908743818e0645da46 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb6fa3fc8190b79b641025710eb1 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbeddd7c8190955bd3363fec4ca1 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:12 p.m.