Triple

T22111387
Position Surface form Disambiguated ID Type / Status
Subject Ramayan (TV series) E546425 entity
Predicate castMember P1668 FINISHED
Object Dara Singh
Dara Singh was a legendary Indian wrestler-turned-actor best known for his strongman image and iconic roles in Hindi cinema and television.
E1521184 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: Dara Singh | Statement: [Ramayan (TV series), castMember, Dara Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dara Singh
Context triple: [Ramayan (TV series), castMember, Dara Singh]
  • A. Khiladi Kumar
    Khiladi Kumar is the popular nickname of Akshay Kumar, a leading Indian Bollywood actor famed for his action roles and comic timing.
  • B. Beni Singh
    Beni Singh was a military commander noted for his role in leading forces during the Battle of Gawilghur in the Second Anglo-Maratha War.
  • C. Lalchand Rajput
    Lalchand Rajput is a former Indian cricketer and coach best known for his role as team manager of the Indian side that won the inaugural 2007 ICC World Twenty20.
  • D. Rajpal Yadav
    Rajpal Yadav is an Indian film actor and comedian best known for his character roles in Hindi cinema.
  • E. Tej Singh
    Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
  • 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: Dara Singh
Triple: [Ramayan (TV series), castMember, Dara Singh]
Generated description
Dara Singh was a legendary Indian wrestler-turned-actor best known for his strongman image and iconic roles in Hindi cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dara Singh
Target entity description: Dara Singh was a legendary Indian wrestler-turned-actor best known for his strongman image and iconic roles in Hindi cinema and television.
  • A. Khiladi Kumar
    Khiladi Kumar is the popular nickname of Akshay Kumar, a leading Indian Bollywood actor famed for his action roles and comic timing.
  • B. Beni Singh
    Beni Singh was a military commander noted for his role in leading forces during the Battle of Gawilghur in the Second Anglo-Maratha War.
  • C. Lalchand Rajput
    Lalchand Rajput is a former Indian cricketer and coach best known for his role as team manager of the Indian side that won the inaugural 2007 ICC World Twenty20.
  • D. Rajpal Yadav
    Rajpal Yadav is an Indian film actor and comedian best known for his character roles in Hindi cinema.
  • E. Tej Singh
    Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96ef6a74819098a09c1b7829ae10 completed May 18, 2026, 4:34 a.m.
NEDg Description generation batch_6a0a9790deac8190bdc998971cfccc1a completed May 18, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a98543b2c8190ba00964fd788bb5f completed May 18, 2026, 4:40 a.m.
Created at: April 16, 2026, 8:31 p.m.