Triple

T16589073
Position Surface form Disambiguated ID Type / Status
Subject Smita Patil E403034 entity
Predicate spouse P13 FINISHED
Object Raj Babbar
Raj Babbar is an Indian film and television actor turned politician, known for his work in Hindi and Punjabi cinema and his long-standing association with the Indian National Congress.
 E1223159 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: Raj Babbar | Statement: [Smita Patil, spouse, Raj Babbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raj Babbar
Context triple: [Smita Patil, spouse, Raj Babbar]
  • A. Ravi Nandan
    Ravi Nandan is a television and film producer known for his executive production work on comedy series such as "Playing House."
  • B. Robin Bhatt
    Robin Bhatt is an Indian screenwriter known for his work on numerous successful Bollywood films, particularly in the romance and drama genres.
  • C. Vinod Khanna
    Vinod Khanna was a prominent Indian film actor and politician, known for his leading roles in Hindi cinema from the 1970s onward and later service as a Member of Parliament.
  • D. Raj Kamal
    Raj Kamal is a character in the Indian film "Rangeela," around whom part of the movie’s romantic and dramatic narrative revolves.
  • E. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • 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: Raj Babbar
Triple: [Smita Patil, spouse, Raj Babbar]
Generated description
Raj Babbar is an Indian film and television actor turned politician, known for his work in Hindi and Punjabi cinema and his long-standing association with the Indian National Congress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raj Babbar
Target entity description: Raj Babbar is an Indian film and television actor turned politician, known for his work in Hindi and Punjabi cinema and his long-standing association with the Indian National Congress.
  • A. Ravi Nandan
    Ravi Nandan is a television and film producer known for his executive production work on comedy series such as "Playing House."
  • B. Robin Bhatt
    Robin Bhatt is an Indian screenwriter known for his work on numerous successful Bollywood films, particularly in the romance and drama genres.
  • C. Vinod Khanna
    Vinod Khanna was a prominent Indian film actor and politician, known for his leading roles in Hindi cinema from the 1970s onward and later service as a Member of Parliament.
  • D. Raj Kamal
    Raj Kamal is a character in the Indian film "Rangeela," around whom part of the movie’s romantic and dramatic narrative revolves.
  • E. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599e79288190b6bcdb6fe4a2d1fa completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0079bf50dc8190a20057ef8a738e1d completed May 10, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a007a34b42081908a77a3913c40377f completed May 10, 2026, 12:29 p.m.
Created at: April 10, 2026, 5:16 a.m.