Triple

T16056584
Position Surface form Disambiguated ID Type / Status
Subject KNB EFX Group E389495 entity
Predicate notableWork P4 FINISHED
Object Hostel: Part II E1034986 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: Hostel: Part II | Statement: [KNB EFX Group, notableWork, Hostel: Part II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hostel: Part II
Context triple: [KNB EFX Group, notableWork, Hostel: Part II]
  • A. Hostel: Part II chosen
    Hostel: Part II is a 2007 American horror film and sequel to Hostel, known for its graphic violence and continuation of the "torture porn" subgenre.
  • B. Hostel: Part III
    Hostel: Part III is a 2011 direct-to-video American horror film and the third installment in the Hostel torture-porn franchise.
  • C. Hostel
    "Hostel" is a 2005 horror film directed by Eli Roth, known for its graphic violence and role in popularizing the "torture porn" subgenre.
  • D. The Host
    The Host is a 2013 science fiction film, based on Stephenie Meyer’s novel, in which Diane Kruger plays a key role in a future where alien “souls” have taken over human bodies.
  • E. The Host
    The Host is a character in the action-strategy game Minecraft Legends who guides and assists the player as they defend the Overworld from invading Piglins.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47a92608190993fe7f2c5957019 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.