Triple

T1682802
Position Surface form Disambiguated ID Type / Status
Subject 1+1 E36373 entity
Predicate hasSisterChannel P6991 FINISHED
Object TET
TET is a Ukrainian television channel known for broadcasting entertainment, comedy, and family-oriented programming.
E189297 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: TET | Statement: [1+1, hasSisterChannel, TET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TET
Context triple: [1+1, hasSisterChannel, TET]
  • A. Tet holiday
    Tet holiday is the Vietnamese Lunar New Year, the country’s most important and widely celebrated festival marking the arrival of spring and a time for family reunions and ancestral worship.
  • B. Têt
    The Têt is a river in southern France that flows through the Pyrénées-Orientales department in the Occitanie region before reaching the Mediterranean Sea.
  • C. Jidai Matsuri
    Jidai Matsuri is a major annual historical parade in Kyoto that celebrates the city’s rich past with participants dressed in costumes from various eras of Japanese history.
  • D. Golden Week
    Golden Week is a cluster of national holidays in Japan that creates one of the country's longest and busiest vacation periods each year.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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: TET
Triple: [1+1, hasSisterChannel, TET]
Generated description
TET is a Ukrainian television channel known for broadcasting entertainment, comedy, and family-oriented programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TET
Target entity description: TET is a Ukrainian television channel known for broadcasting entertainment, comedy, and family-oriented programming.
  • A. Tet holiday
    Tet holiday is the Vietnamese Lunar New Year, the country’s most important and widely celebrated festival marking the arrival of spring and a time for family reunions and ancestral worship.
  • B. Têt
    The Têt is a river in southern France that flows through the Pyrénées-Orientales department in the Occitanie region before reaching the Mediterranean Sea.
  • C. Jidai Matsuri
    Jidai Matsuri is a major annual historical parade in Kyoto that celebrates the city’s rich past with participants dressed in costumes from various eras of Japanese history.
  • D. Golden Week
    Golden Week is a cluster of national holidays in Japan that creates one of the country's longest and busiest vacation periods each year.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627ab38081909d5f264ca49e036a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad7298ee288190b5e2b7d2ccb17a91 completed March 8, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69ad7305c7b48190a8a443dbc20ec9b2 completed March 8, 2026, 1 p.m.
Created at: March 4, 2026, 7:29 p.m.