Triple

T18742696
Position Surface form Disambiguated ID Type / Status
Subject Before These Crowded Streets E458329 entity
Predicate hasTrack P3284 FINISHED
Object The Last Stop 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: The Last Stop | Statement: [Before These Crowded Streets, hasTrack, The Last Stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Last Stop
Context triple: [Before These Crowded Streets, hasTrack, The Last Stop]
  • A. Last Stop
    Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
  • B. Between the Stops
    "Between the Stops" is a memoir by Sandi Toksvig that blends personal reflections, social commentary, and humorous observations framed around her journeys on a London bus route.
  • C. The End of the Journey
    The End of the Journey is the concluding section of William Morris’s fantasy romance "The Well at the World’s End," in which the long quest reaches its final resolution.
  • D. Last Train
    "Last Train" is a British television drama series, also known as "Cruel Earth," about a group of train passengers who awaken from suspended animation to find a post-apocalyptic future.
  • E. The Train Has Stopped
    "The Train Has Stopped" is a 1982 Soviet drama film directed by Vadim Abdrashitov that explores moral responsibility and bureaucratic indifference in the aftermath of a tragic train accident.
  • 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: The Last Stop
Target entity description: "The Last Stop" is a politically charged, fan-favorite song by Dave Matthews Band known for its complex structure and Middle Eastern-influenced melodies.
  • A. Last Stop
    Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
  • B. Between the Stops
    "Between the Stops" is a memoir by Sandi Toksvig that blends personal reflections, social commentary, and humorous observations framed around her journeys on a London bus route.
  • C. The End of the Journey
    The End of the Journey is the concluding section of William Morris’s fantasy romance "The Well at the World’s End," in which the long quest reaches its final resolution.
  • D. Last Train
    "Last Train" is a British television drama series, also known as "Cruel Earth," about a group of train passengers who awaken from suspended animation to find a post-apocalyptic future.
  • E. The Train Has Stopped
    "The Train Has Stopped" is a 1982 Soviet drama film directed by Vadim Abdrashitov that explores moral responsibility and bureaucratic indifference in the aftermath of a tragic train accident.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768fc1f8819085a2abf129ade34b completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.