Triple

T9740244
Position Surface form Disambiguated ID Type / Status
Subject MPC Film E236167 entity
Predicate notableWork P4 FINISHED
Object Blade Runner 2049 E119808 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: Blade Runner 2049 | Statement: [MPC Film, notableWork, Blade Runner 2049]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blade Runner 2049
Context triple: [MPC Film, notableWork, Blade Runner 2049]
  • A. Blade Runner 2049 chosen
    Blade Runner 2049 is a 2017 neo-noir science fiction film, directed by Denis Villeneuve and acclaimed for its visually stunning cinematography and philosophical exploration of identity and humanity.
  • B. Blade Runner
    Blade Runner is a 1982 neo-noir science fiction film set in a dystopian future where a "blade runner" hunts bioengineered replicants, renowned for its atmospheric visuals and philosophical themes about humanity and identity.
  • C. Dune
    Dune is a landmark science fiction novel by Frank Herbert, renowned for its intricate world-building, political intrigue, and exploration of ecology, religion, and power.
  • D. Dune
    Dune is the desert planet central to Frank Herbert's science fiction universe, famed for its harsh environment and the valuable spice melange found in its sands.
  • E. DUNE
    DUNE is a next-generation international neutrino physics experiment designed to study neutrino oscillations, proton decay, and supernova neutrinos using massive liquid argon detectors deep underground.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.