Triple

T14167294
Position Surface form Disambiguated ID Type / Status
Subject Bruno Barreto E351111 entity
Predicate directorOf P537 FINISHED
Object Last Stop 174 E486741 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: Last Stop 174 | Statement: [Bruno Barreto, directorOf, Last Stop 174]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Last Stop 174
Context triple: [Bruno Barreto, directorOf, Last Stop 174]
  • 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. Nextstop
    Nextstop was a location-based social recommendation startup focused on helping users discover and share interesting places to visit.
  • D. Stop Train 349
    "Stop Train 349" is a 1963 Cold War drama film about a political defector who hijacks a train to seek asylum in West Berlin, leading to an international standoff.
  • E. Ônibus 174 chosen
    Ônibus 174 is a Brazilian documentary film that examines the 2000 Rio de Janeiro bus hijacking and its social and political context.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1 a.m.