Triple

T18077920
Position Surface form Disambiguated ID Type / Status
Subject Nick Hurran E432605 entity
Predicate directed P7373 FINISHED
Object Take Me (TV series) — NE NERFINISHED

How this triple was built (3 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: Take Me (TV series) | Statement: [Nick Hurran, directed, Take Me (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take Me (TV series)
Context triple: [Nick Hurran, directed, Take Me (TV series)]
  • A. Taken (TV series)
    Taken is an action-thriller television series based on the film franchise of the same name, serving as a modern-day prequel that follows a younger Bryan Mills as he develops the specialized skills that define his later career.
  • B. Take Me
    "Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
  • C. Take Me In
    "Take Me In" is a song by Dutch singer-songwriter Roel van Velzen, known for its melodic pop-rock style and emotive vocals.
  • D. Take Me as I Am (song)
    "Take Me as I Am" is a song title shared by multiple artists, most notably Faith Hill’s 1993 country hit and Mary J. Blige’s 1994 R&B single, each exploring themes of love, acceptance, and vulnerability.
  • E. Take Me or Leave Me
    "Take Me or Leave Me" is a powerful duet from the musical Rent in which the characters Maureen and Joanne confront the tensions in their tumultuous relationship.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take Me (TV series)
Target entity description: Take Me is a British television drama series that follows the tangled personal and professional lives of an estate agent and his family in a seemingly idyllic suburban community.
  • A. Taken (TV series)
    Taken is an action-thriller television series based on the film franchise of the same name, serving as a modern-day prequel that follows a younger Bryan Mills as he develops the specialized skills that define his later career.
  • B. Take Me
    "Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
  • C. Take Me In
    "Take Me In" is a song by Dutch singer-songwriter Roel van Velzen, known for its melodic pop-rock style and emotive vocals.
  • D. Take Me as I Am (song)
    "Take Me as I Am" is a song title shared by multiple artists, most notably Faith Hill’s 1993 country hit and Mary J. Blige’s 1994 R&B single, each exploring themes of love, acceptance, and vulnerability.
  • E. Take Me or Leave Me
    "Take Me or Leave Me" is a powerful duet from the musical Rent in which the characters Maureen and Joanne confront the tensions in their tumultuous relationship.
  • F. None of above. chosen

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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.