Triple

T8440791
Position Surface form Disambiguated ID Type / Status
Subject Nina Sosanya E199345 entity
Predicate notableWork P4 FINISHED
Object W1A
W1A is a British satirical television comedy series that follows the chaotic inner workings of the BBC through the misadventures of its management team.
E733553 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: W1A | Statement: [Nina Sosanya, notableWork, W1A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W1A
Context triple: [Nina Sosanya, notableWork, W1A]
  • A. Wogan House, London
    Wogan House, London is a BBC broadcasting building best known as the former home of BBC Radio 2’s main studios and several of its flagship radio shows.
  • B. Maida Vale
    Maida Vale is a London Underground station in the City of Westminster, known for its early 20th-century architecture and location in the affluent Maida Vale residential district.
  • C. Partington
    Partington is a suburban town and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England.
  • D. Woburn Place
    Woburn Place is a major thoroughfare in central London, known for its hotels, offices, and proximity to several Bloomsbury squares and institutions.
  • E. Belgravia
    Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
  • 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: W1A
Triple: [Nina Sosanya, notableWork, W1A]
Generated description
W1A is a British satirical television comedy series that follows the chaotic inner workings of the BBC through the misadventures of its management team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: W1A
Target entity description: W1A is a British satirical television comedy series that follows the chaotic inner workings of the BBC through the misadventures of its management team.
  • A. Wogan House, London
    Wogan House, London is a BBC broadcasting building best known as the former home of BBC Radio 2’s main studios and several of its flagship radio shows.
  • B. Maida Vale
    Maida Vale is a London Underground station in the City of Westminster, known for its early 20th-century architecture and location in the affluent Maida Vale residential district.
  • C. Partington
    Partington is a suburban town and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England.
  • D. Woburn Place
    Woburn Place is a major thoroughfare in central London, known for its hotels, offices, and proximity to several Bloomsbury squares and institutions.
  • E. Belgravia
    Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.