Triple

T7674782
Position Surface form Disambiguated ID Type / Status
Subject Central Independent Television E173833 entity
Predicate notableProgrammeProduced P19926 FINISHED
Object Boon
Boon is a British television drama series that follows an ex-fireman turned freelance troubleshooter working in the Midlands.
 E681223 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: Boon | Statement: [Central Independent Television, notableProgrammeProduced, Boon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boon
Context triple: [Central Independent Television, notableProgrammeProduced, Boon]
  • A. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • B. Boe
    Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
  • C. Boebe
    Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
  • D. Bozeat
    Bozeat is a rural village and civil parish in Northamptonshire, England, known for its historic church and traditional English countryside setting.
  • E. Buota
    Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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: Boon
Triple: [Central Independent Television, notableProgrammeProduced, Boon]
Generated description
Boon is a British television drama series that follows an ex-fireman turned freelance troubleshooter working in the Midlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boon
Target entity description: Boon is a British television drama series that follows an ex-fireman turned freelance troubleshooter working in the Midlands.
  • A. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • B. Boe
    Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
  • C. Boebe
    Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
  • D. Bozeat
    Bozeat is a rural village and civil parish in Northamptonshire, England, known for its historic church and traditional English countryside setting.
  • E. Buota
    Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708affd048190bf21bcc1796a3c39 completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a234790c8190b1427f99b7f1e5ab completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.