Triple

T5693940
Position Surface form Disambiguated ID Type / Status
Subject Tabu E125489 entity
Predicate sibling P363 FINISHED
Object Farah Naaz
Farah Naaz is an Indian film actress known for her prominent roles in Hindi cinema during the late 1980s and early 1990s.
E541917 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: Farah Naaz | Statement: [Tabu, sibling, Farah Naaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farah Naaz
Context triple: [Tabu, sibling, Farah Naaz]
  • A. Gauhar Ara Begum
    Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century India.
  • B. Sunidhi Chauhan
    Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
  • C. Latifa
    Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
  • D. Shila Ommi
    Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
  • E. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • 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: Farah Naaz
Triple: [Tabu, sibling, Farah Naaz]
Generated description
Farah Naaz is an Indian film actress known for her prominent roles in Hindi cinema during the late 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Farah Naaz
Target entity description: Farah Naaz is an Indian film actress known for her prominent roles in Hindi cinema during the late 1980s and early 1990s.
  • A. Gauhar Ara Begum
    Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century India.
  • B. Sunidhi Chauhan
    Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
  • C. Latifa
    Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
  • D. Shila Ommi
    Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
  • E. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05d8890148190a4f81b2c1ca70886 completed March 22, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:44 p.m.