Triple

T17491373
Position Surface form Disambiguated ID Type / Status
Subject Ticket To Nowhere E425927 entity
Predicate title P38 FINISHED
Object Ticket To Nowhere 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: Ticket To Nowhere | Statement: [Ticket To Nowhere, title, Ticket To Nowhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ticket To Nowhere
Context triple: [Ticket To Nowhere, title, Ticket To Nowhere]
  • A. Ticket To Nowhere chosen
    "Ticket To Nowhere" is a song recorded by Kenny Rogers and The First Edition, featured on their 1970 album *Tell It All Brother*.
  • B. Enter Nowhere
    Enter Nowhere is a 2011 psychological thriller film about three strangers mysteriously trapped at a remote cabin in the woods, where they uncover a mind-bending connection between them.
  • C. Welcome to Nowhere
    "Welcome to Nowhere" is a children's novel by Frank Cottrell-Boyce that follows a Syrian boy and his family as they navigate the challenges of becoming refugees.
  • D. Welcome to Nowhere
    "Welcome to Nowhere" is a musical number from the Broadway show *The Band’s Visit* that captures the isolation and quiet desperation of life in a remote Israeli desert town.
  • E. Road to Nowhere
    Road to Nowhere is a 2010 neo-noir mystery film directed by Monte Hellman that blurs the line between reality and fiction through a movie-within-a-movie 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d5dd5c8190a8631e0d2ca1e427 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.