Triple

T21428646
Position Surface form Disambiguated ID Type / Status
Subject Akshay Kumar E528625 entity
Predicate notableWork P4 FINISHED
Object Khiladi
Khiladi is a 1992 Indian action thriller film that became a breakthrough hit for Akshay Kumar and launched a popular Bollywood film franchise.
E1484160 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: Khiladi | Statement: [Akshay Kumar, notableWork, Khiladi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khiladi
Context triple: [Akshay Kumar, notableWork, Khiladi]
  • A. Khela
    Khela is an Indian Bengali film featuring actress Raima Sen in a prominent role.
  • B. Mando Khel
    Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
  • C. Utman Khel
    Utman Khel is a Pashtun tribal group traditionally inhabiting parts of the Bajaur region along the Pakistan-Afghanistan border.
  • D. Maidaan
    Maidaan is a Hindi-language biographical sports drama film centered on the golden era of Indian football, produced by Boney Kapoor and starring Ajay Devgn as legendary coach Syed Abdul Rahim.
  • E. Veer
    Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
  • 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: Khiladi
Triple: [Akshay Kumar, notableWork, Khiladi]
Generated description
Khiladi is a 1992 Indian action thriller film that became a breakthrough hit for Akshay Kumar and launched a popular Bollywood film franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khiladi
Target entity description: Khiladi is a 1992 Indian action thriller film that became a breakthrough hit for Akshay Kumar and launched a popular Bollywood film franchise.
  • A. Khela
    Khela is an Indian Bengali film featuring actress Raima Sen in a prominent role.
  • B. Mando Khel
    Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
  • C. Utman Khel
    Utman Khel is a Pashtun tribal group traditionally inhabiting parts of the Bajaur region along the Pakistan-Afghanistan border.
  • D. Maidaan
    Maidaan is a Hindi-language biographical sports drama film centered on the golden era of Indian football, produced by Boney Kapoor and starring Ajay Devgn as legendary coach Syed Abdul Rahim.
  • E. Veer
    Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
  • 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.