Triple

T16841785
Position Surface form Disambiguated ID Type / Status
Subject BBC Forces Programme E409429 entity
Predicate notableProgramme P2513 FINISHED
Object ITMA
ITMA (It's That Man Again) was a hugely popular British radio comedy show during World War II, known for its fast-paced sketches, catchphrases, and morale-boosting humor.
 E1237022 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: ITMA | Statement: [BBC Forces Programme, notableProgramme, ITMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITMA
Context triple: [BBC Forces Programme, notableProgramme, ITMA]
  • A. IMTS
    IMTS is one of the world’s largest trade shows for manufacturing technology, showcasing advanced machine tools, automation, and related innovations.
  • B. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • C. ITMRA
    ITMRA is a U.S. federal law that modernized government information technology management and accountability across federal agencies.
  • D. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • E. ITI
    ITI is a leading U.S.-based trade association that represents major global technology companies and advocates for public policies on innovation, cybersecurity, and the digital economy.
  • 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: ITMA
Triple: [BBC Forces Programme, notableProgramme, ITMA]
Generated description
ITMA (It's That Man Again) was a hugely popular British radio comedy show during World War II, known for its fast-paced sketches, catchphrases, and morale-boosting humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITMA
Target entity description: ITMA (It's That Man Again) was a hugely popular British radio comedy show during World War II, known for its fast-paced sketches, catchphrases, and morale-boosting humor.
  • A. IMTS
    IMTS is one of the world’s largest trade shows for manufacturing technology, showcasing advanced machine tools, automation, and related innovations.
  • B. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • C. ITMRA
    ITMRA is a U.S. federal law that modernized government information technology management and accountability across federal agencies.
  • D. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • E. ITI
    ITI is a leading U.S.-based trade association that represents major global technology companies and advocates for public policies on innovation, cybersecurity, and the digital economy.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc22dc1c81909edc5cdb239f0ea8 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bce879648190acbd5645cd1a4ec8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:24 a.m.