Triple

T10944253
Position Surface form Disambiguated ID Type / Status
Subject Jay Hernandez E258552 entity
Predicate characterIn P12208 FINISHED
Object Hostel E895535 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 | Statement: [Jay Hernandez, characterIn, Hostel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hostel
Context triple: [Jay Hernandez, characterIn, Hostel]
  • A. Hostel chosen
    "Hostel" is a 2005 horror film directed by Eli Roth, known for its graphic violence and role in popularizing the "torture porn" subgenre.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Hostage
    "Hostage" is a 2005 crime thriller film in which Jonathan Tucker appears alongside Bruce Willis in a tense story about a hostage negotiator drawn into a violent standoff.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3446b6f1481908365bb9235768859 completed April 18, 2026, 8:44 a.m.
Created at: April 8, 2026, 9:23 p.m.