Triple

T5779679
Position Surface form Disambiguated ID Type / Status
Subject Ajeeb Dastan Hai Yeh E127525 entity
Predicate lyricist P1360 FINISHED
Object Shailendra
Shailendra was a celebrated Indian poet and film lyricist, renowned for his evocative and timeless songs in classic Hindi cinema.
E549432 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: Shailendra | Statement: [Ajeeb Dastan Hai Yeh, lyricist, Shailendra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shailendra
Context triple: [Ajeeb Dastan Hai Yeh, lyricist, Shailendra]
  • A. Gulzar
    Gulzar is a renowned Indian poet, lyricist, and filmmaker celebrated for his evocative Urdu and Hindi writings and influential contributions to Indian cinema and music.
  • B. Kumar Shahani
    Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
  • C. Madanlal Pahwa
    Madanlal Pahwa was an Indian extremist involved in the conspiracy that led to Mahatma Gandhi’s assassination in 1948.
  • D. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • E. I. S. Johar
    I. S. Johar was an Indian actor, writer, and filmmaker known for his character roles in both Hindi cinema and international films, including the epic historical drama "Lawrence of Arabia."
  • 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: Shailendra
Triple: [Ajeeb Dastan Hai Yeh, lyricist, Shailendra]
Generated description
Shailendra was a celebrated Indian poet and film lyricist, renowned for his evocative and timeless songs in classic Hindi cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shailendra
Target entity description: Shailendra was a celebrated Indian poet and film lyricist, renowned for his evocative and timeless songs in classic Hindi cinema.
  • A. Gulzar
    Gulzar is a renowned Indian poet, lyricist, and filmmaker celebrated for his evocative Urdu and Hindi writings and influential contributions to Indian cinema and music.
  • B. Kumar Shahani
    Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
  • C. Madanlal Pahwa
    Madanlal Pahwa was an Indian extremist involved in the conspiracy that led to Mahatma Gandhi’s assassination in 1948.
  • D. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • E. I. S. Johar
    I. S. Johar was an Indian actor, writer, and filmmaker known for his character roles in both Hindi cinema and international films, including the epic historical drama "Lawrence of Arabia."
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e26ff88190b7f8eb03bcd30dc6 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17276648190b1fedfcc69d46b59 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a1fc8d888190baf5547a43b87bb6 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a260a0e48190a72805ba2c925c20 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:50 p.m.