Triple

T16528091
Position Surface form Disambiguated ID Type / Status
Subject Reema Lagoo E401490 entity
Predicate notableWork P4 FINISHED
Object Saajan
Saajan is a 1991 Hindi romantic drama film best known for its love triangle storyline and memorable music, starring Salman Khan, Sanjay Dutt, and Madhuri Dixit.
E1218745 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: Saajan | Statement: [Reema Lagoo, notableWork, Saajan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saajan
Context triple: [Reema Lagoo, notableWork, Saajan]
  • A. Josan
    Josan is a shortened or familiar form of the Spanish given name José Antonio.
  • B. Sadali
    Sadali is a small Italian town in the central-eastern part of Sardinia, known for its karst landscapes, waterfalls, and traditional pastoral culture.
  • C. Sadah
    Sadah is the plural term for Sayyid, denoting people regarded as descendants of the Islamic prophet Muhammad through his grandsons Hasan and Husayn.
  • D. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • E. Saans
    "Saans" is a popular romantic Bollywood song from the 2012 film "Jab Tak Hai Jaan," sung by Shreya Ghoshal and known for its soulful melody and emotional depth.
  • 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: Saajan
Triple: [Reema Lagoo, notableWork, Saajan]
Generated description
Saajan is a 1991 Hindi romantic drama film best known for its love triangle storyline and memorable music, starring Salman Khan, Sanjay Dutt, and Madhuri Dixit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saajan
Target entity description: Saajan is a 1991 Hindi romantic drama film best known for its love triangle storyline and memorable music, starring Salman Khan, Sanjay Dutt, and Madhuri Dixit.
  • A. Josan
    Josan is a shortened or familiar form of the Spanish given name José Antonio.
  • B. Sadali
    Sadali is a small Italian town in the central-eastern part of Sardinia, known for its karst landscapes, waterfalls, and traditional pastoral culture.
  • C. Sadah
    Sadah is the plural term for Sayyid, denoting people regarded as descendants of the Islamic prophet Muhammad through his grandsons Hasan and Husayn.
  • D. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • E. Saans
    "Saans" is a popular romantic Bollywood song from the 2012 film "Jab Tak Hai Jaan," sung by Shreya Ghoshal and known for its soulful melody and emotional depth.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0062cbe9048190823db47a42dac26a completed May 10, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00635f57c08190ad915082b00b0f88 completed May 10, 2026, 10:52 a.m.
Created at: April 10, 2026, 5:14 a.m.