Triple

T5180520
Position Surface form Disambiguated ID Type / Status
Subject Robin Day E116907 entity
Predicate notableWork P4 FINISHED
Object Question Time
Question Time is a long-running BBC television political debate program where a panel of public figures answers questions from a studio audience.
 E499692 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: Question Time | Statement: [Robin Day, notableWork, Question Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Question Time
Context triple: [Robin Day, notableWork, Question Time]
  • A. Q & A
    Q & A is a novel by Vikas Swarup that follows a poor Indian waiter who unexpectedly wins a fortune on a quiz show, inspiring the film Slumdog Millionaire.
  • B. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • C. The Questions
    The Questions is a section of the novel "Like Water for Chocolate" that presents reflective or discussion prompts related to the story’s themes and events.
  • D. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • E. Some Answered Questions
    Some Answered Questions is a central Bahá'í text consisting of recorded talks by ʻAbdu'l‑Bahá that explain key spiritual, philosophical, and scriptural themes of the Bahá'í Faith.
  • 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: Question Time
Triple: [Robin Day, notableWork, Question Time]
Generated description
Question Time is a long-running BBC television political debate program where a panel of public figures answers questions from a studio audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Question Time
Target entity description: Question Time is a long-running BBC television political debate program where a panel of public figures answers questions from a studio audience.
  • A. Q & A
    Q & A is a novel by Vikas Swarup that follows a poor Indian waiter who unexpectedly wins a fortune on a quiz show, inspiring the film Slumdog Millionaire.
  • B. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • C. The Questions
    The Questions is a section of the novel "Like Water for Chocolate" that presents reflective or discussion prompts related to the story’s themes and events.
  • D. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • E. Some Answered Questions
    Some Answered Questions is a central Bahá'í text consisting of recorded talks by ʻAbdu'l‑Bahá that explain key spiritual, philosophical, and scriptural themes of the Bahá'í Faith.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
NEDg Description generation batch_69beda0419108190862d028a14227e8a completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69bedaa232ac81908c5ee2d4ba8cbcd7 completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:45 p.m.