Triple

T21428694
Position Surface form Disambiguated ID Type / Status
Subject Krantiveer E528626 entity
Predicate editedBy P1954 FINISHED
Object Hussain A. Burmawala
Hussain A. Burmawala is an Indian film editor known for his work on numerous Bollywood movies.
E1484173 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: Hussain A. Burmawala | Statement: [Krantiveer, editedBy, Hussain A. Burmawala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hussain A. Burmawala
Context triple: [Krantiveer, editedBy, Hussain A. Burmawala]
  • A. Talat Hussain
    Talat Hussain was a prominent Pakistani actor and voice artist known for his work in film, television, and radio in Pakistan and abroad.
  • B. Riyaz Naikoo
    Riyaz Naikoo was a prominent Kashmiri militant leader who served as a key commander of the Hizbul Mujahideen insurgent group in Jammu and Kashmir.
  • C. Amir H. Hoveyda
    Amir H. Hoveyda is an American organic chemist renowned for his contributions to asymmetric catalysis and the development of chiral catalysts for stereoselective synthesis.
  • D. Arif Virani
    Arif Virani is a Canadian politician and lawyer who serves as the country’s Minister of Justice and Attorney General.
  • E. Hussain Sajwani
    Hussain Sajwani is an Emirati billionaire businessman best known as the founder and chairman of the luxury real estate development company DAMAC Properties.
  • 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: Hussain A. Burmawala
Triple: [Krantiveer, editedBy, Hussain A. Burmawala]
Generated description
Hussain A. Burmawala is an Indian film editor known for his work on numerous Bollywood movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hussain A. Burmawala
Target entity description: Hussain A. Burmawala is an Indian film editor known for his work on numerous Bollywood movies.
  • A. Talat Hussain
    Talat Hussain was a prominent Pakistani actor and voice artist known for his work in film, television, and radio in Pakistan and abroad.
  • B. Riyaz Naikoo
    Riyaz Naikoo was a prominent Kashmiri militant leader who served as a key commander of the Hizbul Mujahideen insurgent group in Jammu and Kashmir.
  • C. Amir H. Hoveyda
    Amir H. Hoveyda is an American organic chemist renowned for his contributions to asymmetric catalysis and the development of chiral catalysts for stereoselective synthesis.
  • D. Arif Virani
    Arif Virani is a Canadian politician and lawyer who serves as the country’s Minister of Justice and Attorney General.
  • E. Hussain Sajwani
    Hussain Sajwani is an Emirati billionaire businessman best known as the founder and chairman of the luxury real estate development company DAMAC Properties.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813db52c8190ac933bc6ec4dbf77 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2aa56b081909ddfc07b7b5fd60e completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c3a036408190a759223303268183 completed May 17, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_6a09c49aa5b881908ac2e920684a9fa2 completed May 17, 2026, 1:37 p.m.
Created at: April 16, 2026, 5:49 p.m.