Triple

T8499025
Position Surface form Disambiguated ID Type / Status
Subject kora E201168 entity
Predicate playedBy P9616 FINISHED
Object Tata Dindin
Tata Dindin is a musician known for performing the kora, a traditional West African stringed instrument.
E740019 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: Tata Dindin | Statement: [kora, playedBy, Tata Dindin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Dindin
Context triple: [kora, playedBy, Tata Dindin]
  • A. Andanin Vilas
    Andanin Vilas is a daughter of Argentine tennis legend Guillermo Vilas.
  • B. Tika Kunama
    Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
  • C. Tilba Tilba
    Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
  • D. Hu Tu Tu
    Hu Tu Tu is a 1999 Hindi political drama film directed by Gulzar, known for its critique of corruption and power, featuring Tabu in a prominent role.
  • E. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • 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: Tata Dindin
Triple: [kora, playedBy, Tata Dindin]
Generated description
Tata Dindin is a musician known for performing the kora, a traditional West African stringed instrument.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tata Dindin
Target entity description: Tata Dindin is a musician known for performing the kora, a traditional West African stringed instrument.
  • A. Andanin Vilas
    Andanin Vilas is a daughter of Argentine tennis legend Guillermo Vilas.
  • B. Tika Kunama
    Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
  • C. Tilba Tilba
    Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
  • D. Hu Tu Tu
    Hu Tu Tu is a 1999 Hindi political drama film directed by Gulzar, known for its critique of corruption and power, featuring Tabu in a prominent role.
  • E. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5984d7481908c41c57bef9cf254 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:14 p.m.