Triple

T9238016
Position Surface form Disambiguated ID Type / Status
Subject Office Christmas Party E221984 entity
Predicate starring P1507 FINISHED
Object Karan Soni E661211 NE FINISHED

How this triple was built (2 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: Karan Soni | Statement: [Office Christmas Party, starring, Karan Soni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karan Soni
Context triple: [Office Christmas Party, starring, Karan Soni]
  • A. Karan Soni chosen
    Karan Soni is an Indian-American actor best known for his comedic roles in film and television, including his recurring portrayal of the anxious taxi driver Dopinder in the Deadpool franchise.
  • B. Akshay Tandon
    Akshay Tandon is an Indian businessman and sports executive best known for his ownership and leadership role with Indian Super League football club FC Goa.
  • C. Paresh Rawal
    Paresh Rawal is a renowned Indian actor and comedian celebrated for his versatile performances in Hindi cinema and theatre.
  • D. Shantanu Thakur
    Shantanu Thakur is an Indian politician from the Bharatiya Janata Party who serves as a Minister of State in the central government and represents the Bangaon constituency in the Lok Sabha.
  • E. Anurag Behar
    Anurag Behar is an Indian educationist and social sector leader best known for heading the Azim Premji Foundation and contributing to large-scale education reform in India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.