Triple

T21945197
Position Surface form Disambiguated ID Type / Status
Subject Golmaal Again E541915 entity
Predicate dialogueBy P31331 FINISHED
Object Farhad Samji
Farhad Samji is an Indian screenwriter and filmmaker known for writing dialogues and directing popular Bollywood comedy and action films.
E1566075 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: Farhad Samji | Statement: [Golmaal Again, dialogueBy, Farhad Samji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farhad Samji
Context triple: [Golmaal Again, dialogueBy, Farhad Samji]
  • A. Farhad Massoudi
    Farhad Massoudi is an entrepreneur best known as the founder of Tubi, a popular ad-supported video streaming service.
  • B. Bijan Davari
    Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
  • C. Farhad Shami
    Farhad Shami is a Kurdish media figure and political activist best known as the official spokesperson for the Syrian Democratic Forces in northern and eastern Syria.
  • D. Mansoor Dailami
    Mansoor Dailami is an economist and author known for his work on emerging markets and Asia’s economic development.
  • E. John Sadri
    John Sadri is a former American professional tennis player best known for his powerful serve and for reaching the final of the 1979 Australian Open.
  • 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: Farhad Samji
Triple: [Golmaal Again, dialogueBy, Farhad Samji]
Generated description
Farhad Samji is an Indian screenwriter and filmmaker known for writing dialogues and directing popular Bollywood comedy and action films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Farhad Samji
Target entity description: Farhad Samji is an Indian screenwriter and filmmaker known for writing dialogues and directing popular Bollywood comedy and action films.
  • A. Farhad Massoudi
    Farhad Massoudi is an entrepreneur best known as the founder of Tubi, a popular ad-supported video streaming service.
  • B. Bijan Davari
    Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
  • C. Farhad Shami
    Farhad Shami is a Kurdish media figure and political activist best known as the official spokesperson for the Syrian Democratic Forces in northern and eastern Syria.
  • D. Mansoor Dailami
    Mansoor Dailami is an economist and author known for his work on emerging markets and Asia’s economic development.
  • E. John Sadri
    John Sadri is a former American professional tennis player best known for his powerful serve and for reaching the final of the 1979 Australian Open.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf28c6374819099ff8ca38085d7d3 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf7935b088190b0b8098ee877302f completed May 19, 2026, 5:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf7f426b88190b3b6897b116b7809 completed May 19, 2026, 5:41 a.m.
Created at: April 16, 2026, 7:56 p.m.