Triple

T22433254
Position Surface form Disambiguated ID Type / Status
Subject Lootera E554548 entity
Predicate hasSong P20452 FINISHED
Object Zinda
"Zinda" is a popular Hindi song from the Bollywood film Lootera, noted for its emotional depth and evocative lyrics.
E1536431 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: Zinda | Statement: [Lootera, hasSong, Zinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinda
Context triple: [Lootera, hasSong, Zinda]
  • A. Zinda Pir
    Zinda Pir is a revered saintly figure in Sindhi Hindu and Sufi traditions, closely associated with the river deity Jhulelal and venerated as a protector of devotees.
  • B. Zinda Rood
    Zinda Rood is a biographical work by Javid Iqbal that chronicles the life, thought, and legacy of his father, the philosopher-poet Muhammad Iqbal.
  • C. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • D. Sherawali
    Sherawali is a revered Hindu goddess form of Durga, worshipped especially in North India as the lion-riding mother deity who destroys evil and protects her devotees.
  • E. Dastagir
    Dastagir is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
  • 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: Zinda
Triple: [Lootera, hasSong, Zinda]
Generated description
"Zinda" is a popular Hindi song from the Bollywood film Lootera, noted for its emotional depth and evocative lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zinda
Target entity description: "Zinda" is a popular Hindi song from the Bollywood film Lootera, noted for its emotional depth and evocative lyrics.
  • A. Zinda Pir
    Zinda Pir is a revered saintly figure in Sindhi Hindu and Sufi traditions, closely associated with the river deity Jhulelal and venerated as a protector of devotees.
  • B. Zinda Rood
    Zinda Rood is a biographical work by Javid Iqbal that chronicles the life, thought, and legacy of his father, the philosopher-poet Muhammad Iqbal.
  • C. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • D. Sherawali
    Sherawali is a revered Hindu goddess form of Durga, worshipped especially in North India as the lion-riding mother deity who destroys evil and protects her devotees.
  • E. Dastagir
    Dastagir is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0f90f5881908f0011690cb0f1e4 completed May 18, 2026, 10:59 a.m.
NEDg Description generation batch_6a0af268db2881908706641ad1e41f79 completed May 18, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:47 p.m.