Triple

T7674362
Position Surface form Disambiguated ID Type / Status
Subject Associated Television E173823 entity
Predicate alsoKnownAs P39 FINISHED
Object ATV
ATV is a British television production and broadcasting company best known as one of the original ITV network franchises in the mid-20th century.
 E681196 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: ATV | Statement: [Associated Television, alsoKnownAs, ATV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ATV
Context triple: [Associated Television, alsoKnownAs, ATV]
  • A. UTV
    UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • B. Ski-Doo snowmobile
    The Ski-Doo snowmobile is a pioneering recreational and utility snow vehicle, widely recognized for popularizing modern snowmobiling and enabling long-distance polar expeditions.
  • C. AEV
    AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
  • D. Truk
    Truk, now known as Chuuk, is a Micronesian island group in the central Pacific Ocean renowned for its sheltered lagoon and numerous World War II shipwrecks popular with divers.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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: ATV
Triple: [Associated Television, alsoKnownAs, ATV]
Generated description
ATV is a British television production and broadcasting company best known as one of the original ITV network franchises in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ATV
Target entity description: ATV is a British television production and broadcasting company best known as one of the original ITV network franchises in the mid-20th century.
  • A. UTV
    UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • B. Ski-Doo snowmobile
    The Ski-Doo snowmobile is a pioneering recreational and utility snow vehicle, widely recognized for popularizing modern snowmobiling and enabling long-distance polar expeditions.
  • C. AEV
    AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
  • D. Truk
    Truk, now known as Chuuk, is a Micronesian island group in the central Pacific Ocean renowned for its sheltered lagoon and numerous World War II shipwrecks popular with divers.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 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.