Triple

T17604876
Position Surface form Disambiguated ID Type / Status
Subject Frank Muir E428800 entity
Predicate coCreatorOf P806 FINISHED
Object Take It From Here 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: Take It From Here | Statement: [Frank Muir, coCreatorOf, Take It From Here]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take It From Here
Context triple: [Frank Muir, coCreatorOf, Take It From Here]
  • A. Take It From Here chosen
    Take It From Here was a popular mid-20th-century British radio comedy series known for its witty scripts and influential role in shaping postwar UK humor.
  • B. You Take It From Here
    "You Take It From Here" is a contemporary novel by Pamela Ribon that explores the complexities of female friendship, grief, and unexpected responsibility with sharp humor and emotional depth.
  • C. Take It There
    "Take It There" is a song by the American new wave band Game Theory, known for their jangly guitar sound and literate power pop style.
  • D. Take It as It Comes
    "Take It as It Comes" is a song by the American punk rock band Ramones, featured on their 1992 studio album *Mondo Bizarro*.
  • E. Take It All
    "Take It All" is a dramatic song performed by Marion Cotillard in the 2009 musical film *Nine*, known for its emotional intensity and central role in the movie’s narrative.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4b4ee88190827ea28b99ca6f33 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.