Triple

T16679451
Position Surface form Disambiguated ID Type / Status
Subject Night Train E405300 entity
Predicate hasTrack P3284 FINISHED
Object Back in Time E1226292 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: Back in Time | Statement: [Night Train, hasTrack, Back in Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back in Time
Context triple: [Night Train, hasTrack, Back in Time]
  • A. Back in Time chosen
    "Back in Time" is a song featured on the EP *Night Train* by the British rock band Keane.
  • B. Time After Time
    Time After Time is a 1979 science fiction film that imagines H.G. Wells pursuing Jack the Ripper into modern-day San Francisco using a time machine.
  • C. Time After Time
    "Time After Time" is a 1983 pop ballad by Cyndi Lauper that became one of her signature hits, known for its emotional lyrics and melodic, synth-driven sound.
  • D. Time After Time
    "Time After Time" is a popular 1947 American standard song composed by Jule Styne with lyrics by Sammy Cahn, widely recorded by jazz and pop vocalists.
  • E. From Time to Time
    From Time to Time is a 2009 British fantasy drama film written and directed by Julian Fellowes, blending a World War II–era family mystery with time-travel elements in an English country house.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.