Triple

T16004725
Position Surface form Disambiguated ID Type / Status
Subject Olivier Bériot E388186 entity
Predicate workedOn P3 FINISHED
Object Taken 2 E673180 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: Taken 2 | Statement: [Olivier Bériot, workedOn, Taken 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taken 2
Context triple: [Olivier Bériot, workedOn, Taken 2]
  • A. Taken 2 chosen
    Taken 2 is a 2012 action thriller film starring Liam Neeson as ex-CIA operative Bryan Mills, who must once again rescue his family from vengeful kidnappers.
  • B. Taken 3
    Taken 3 is a 2014 action thriller film and the third installment in the Taken franchise, again starring Liam Neeson as ex-CIA operative Bryan Mills.
  • C. Taken (2008 film)
    Taken (2008 film) is a fast-paced action thriller in which former CIA operative Bryan Mills relentlessly hunts down the criminals who kidnapped his daughter in Paris.
  • D. Took
    Took is the hobbit family name of Peregrin “Pippin” Took, one of the central characters in J.R.R. Tolkien’s The Lord of the Rings.
  • E. The Taking
    The Taking is a horror novel by Dean Koontz that follows a couple facing an apocalyptic, seemingly alien invasion that blurs the line between supernatural and science fiction terror.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.