Triple

T5524323
Position Surface form Disambiguated ID Type / Status
Subject George Benjamin E144885 entity
Predicate notableWork P4 FINISHED
Object Antara
Antara is a contemporary classical composition by British composer George Benjamin, known for its innovative orchestration and exploration of timbre.
 E528597 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: Antara | Statement: [George Benjamin, notableWork, Antara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antara
Context triple: [George Benjamin, notableWork, Antara]
  • A. Isin
    Isin is a local government area in Kwara State, Nigeria, known for its predominantly Yoruba communities and agrarian economy.
  • B. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • 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: Antara
Triple: [George Benjamin, notableWork, Antara]
Generated description
Antara is a contemporary classical composition by British composer George Benjamin, known for its innovative orchestration and exploration of timbre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antara
Target entity description: Antara is a contemporary classical composition by British composer George Benjamin, known for its innovative orchestration and exploration of timbre.
  • A. Isin
    Isin is a local government area in Kwara State, Nigeria, known for its predominantly Yoruba communities and agrarian economy.
  • B. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f6aa1c8190b639c317c7d60f64 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c033dc91e08190888fb6e94027fbdb completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c03460b21481908b78aa4bdc989d2c completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:34 p.m.