Triple

T14659135
Position Surface form Disambiguated ID Type / Status
Subject Scott Spiegel E344188 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: [Scott Spiegel, notableWork, Hostel: Part II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hostel: Part II
Context triple: [Scott Spiegel, 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
    "Hostel" is a 2005 horror film directed by Eli Roth, known for its graphic violence and role in popularizing the "torture porn" subgenre.
  • C. 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.
  • D. 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.
  • E. The Host
    The Host is a 2006 South Korean monster film by director Bong Joon-ho that blends creature-feature horror with dark comedy and social commentary.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.