Triple

T11122377
Position Surface form Disambiguated ID Type / Status
Subject Chomana Dudi E263046 entity
Predicate mainCharacter P1183 FINISHED
Object Choma
Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
E906100 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: Choma | Statement: [Chomana Dudi, mainCharacter, Choma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choma
Context triple: [Chomana Dudi, mainCharacter, Choma]
  • A. Choma
    Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
  • B. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • C. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • D. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Choma
Triple: [Chomana Dudi, mainCharacter, Choma]
Generated description
Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Choma
Target entity description: Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
  • A. Choma
    Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
  • B. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • C. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • D. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8643748190a7801fc401dd2b5a completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e42f3eaa0c819095e5af20b910d979 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.