Triple

T16062822
Position Surface form Disambiguated ID Type / Status
Subject Elliot Graham E389654 entity
Predicate workedOn P3 FINISHED
Object The Host (2013 film) E161467 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: The Host (2013 film) | Statement: [Elliot Graham, workedOn, The Host (2013 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Host (2013 film)
Context triple: [Elliot Graham, workedOn, The Host (2013 film)]
  • A. The Host chosen
    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.
  • B. 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.
  • C. 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.
  • D. The Host
    The Host is the outspoken, jovial innkeeper in Geoffrey Chaucer’s "The Canterbury Tales" who proposes and oversees the storytelling contest among the pilgrims.
  • E. Hostel
    "Hostel" is a 2005 horror film directed by Eli Roth, known for its graphic violence and role in popularizing the "torture porn" subgenre.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837a04108190b5a1dbbe2063039e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.