Triple

T6969610
Position Surface form Disambiguated ID Type / Status
Subject Nandi Awards E161568 entity
Predicate hasAward P219 FINISHED
Object Bronze Nandi
Bronze Nandi is a category of the prestigious Nandi film awards presented by the Andhra Pradesh government to honor notable achievements in Telugu cinema.
 E634247 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: Bronze Nandi | Statement: [Nandi Awards, hasAward, Bronze Nandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bronze Nandi
Context triple: [Nandi Awards, hasAward, Bronze Nandi]
  • A. Silver Nandi
    Silver Nandi is a prestigious category of the Nandi Awards presented by the Andhra Pradesh government to honor excellence in Telugu cinema.
  • B. Nandi
    Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
  • C. Nandi
    Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
  • D. Gcaleka
    Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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: Bronze Nandi
Triple: [Nandi Awards, hasAward, Bronze Nandi]
Generated description
Bronze Nandi is a category of the prestigious Nandi film awards presented by the Andhra Pradesh government to honor notable achievements in Telugu cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bronze Nandi
Target entity description: Bronze Nandi is a category of the prestigious Nandi film awards presented by the Andhra Pradesh government to honor notable achievements in Telugu cinema.
  • A. Silver Nandi
    Silver Nandi is a prestigious category of the Nandi Awards presented by the Andhra Pradesh government to honor excellence in Telugu cinema.
  • B. Nandi
    Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
  • C. Nandi
    Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
  • D. Gcaleka
    Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a04a77c8190959056a68a349f6e completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76ac527408190ab72d2e66a8f1bf5 completed March 28, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69c76b54d83081909b08d9b092a38344 completed March 28, 2026, 5:47 a.m.
Created at: March 27, 2026, 2:30 p.m.