Triple

T19752538
Position Surface form Disambiguated ID Type / Status
Subject Ryan Merriman E474415 entity
Predicate appearedIn P795 FINISHED
Object Taken 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: Taken | Statement: [Ryan Merriman, appearedIn, Taken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taken
Context triple: [Ryan Merriman, appearedIn, Taken]
  • A. Taken
    Taken is a 2008 action thriller film in which Liam Neeson plays a former CIA operative who relentlessly hunts down his daughter's kidnappers in Paris.
  • B. Taken chosen
    Taken is a science fiction television miniseries that explores multiple generations of human encounters with extraterrestrials and government conspiracies.
  • C. Stolen
    "Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
  • D. Stolen
    "Stolen" is a song by British-Indian singer Jay Sean that blends R&B and pop influences and helped establish his early mainstream success.
  • E. Stolen
    Stolen is a 2012 action thriller film starring Nicolas Cage as a former thief racing against time to rescue his kidnapped daughter.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.