Triple

T18755431
Position Surface form Disambiguated ID Type / Status
Subject Bird Box E458635 entity
Predicate starring P1507 FINISHED
Object Parminder Nagra NE NERFINISHED

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: Parminder Nagra | Statement: [Bird Box, starring, Parminder Nagra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parminder Nagra
Context triple: [Bird Box, starring, Parminder Nagra]
  • A. Parminder Nagra chosen
    Parminder Nagra is a British actress best known for her breakthrough lead role in the football-themed film "Bend It Like Beckham" and for her later work in television dramas such as "ER."
  • B. Nimrat Kaur
    Nimrat Kaur is an Indian actress known for her acclaimed performances in films like "The Lunchbox" and "Airlift" as well as in international television series.
  • C. Lehna Singh Kahlon
    Lehna Singh Kahlon was a prominent Sikh leader associated with the Misls, the confederacies that formed the backbone of Sikh power in 18th-century Punjab.
  • D. Aparshakti Khurana
    Aparshakti Khurana is an Indian actor, radio jockey, and television host known for his supporting roles in popular Bollywood films and his comic timing.
  • E. Mandip Gill
    Mandip Gill is a British actress best known for playing companion Yasmin Khan in the long-running science fiction series Doctor Who.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.