Triple

T15355244
Position Surface form Disambiguated ID Type / Status
Subject Office Space E367154 entity
Predicate mainCharacter P1183 FINISHED
Object Samir Nagheenanajar E700751 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: Samir Nagheenanajar | Statement: [Office Space, mainCharacter, Samir Nagheenanajar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samir Nagheenanajar
Context triple: [Office Space, mainCharacter, Samir Nagheenanajar]
  • A. Asheem Chandna
    Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
  • B. Rajeev Suri
    Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
  • C. Ajay Naidu chosen
    Ajay Naidu is an American actor best known for his roles in independent films and the cult comedy "Office Space."
  • D. Ashwanth Ashokkumar
    Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
  • E. Santosh Patel
    Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:18 a.m.