Triple

T16528034
Position Surface form Disambiguated ID Type / Status
Subject Zarina Wahab E401489 entity
Predicate notableWork P4 FINISHED
Object Madana
Madana is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
 E1218733 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: Madana | Statement: [Zarina Wahab, notableWork, Madana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madana
Context triple: [Zarina Wahab, notableWork, Madana]
  • A. Merani
    Merani is a renowned Romantic-era Georgian poem by Nikoloz Baratashvili that explores themes of fate, sacrifice, and national identity.
  • B. Manasa
    Manasa is a Hindu serpent goddess primarily worshipped in eastern India as a protector against snakebites and a granter of fertility and prosperity.
  • C. Madra
    Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
  • D. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • E. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • 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: Madana
Triple: [Zarina Wahab, notableWork, Madana]
Generated description
Madana is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madana
Target entity description: Madana is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
  • A. Merani
    Merani is a renowned Romantic-era Georgian poem by Nikoloz Baratashvili that explores themes of fate, sacrifice, and national identity.
  • B. Manasa
    Manasa is a Hindu serpent goddess primarily worshipped in eastern India as a protector against snakebites and a granter of fertility and prosperity.
  • C. Madra
    Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
  • D. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • E. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0062cbe9048190823db47a42dac26a completed May 10, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00635f57c08190ad915082b00b0f88 completed May 10, 2026, 10:52 a.m.
Created at: April 10, 2026, 5:14 a.m.