Triple

T22980036
Position Surface form Disambiguated ID Type / Status
Subject Steven Hoggett E571431 entity
Predicate notableWork P4 FINISHED
Object Let the Right One In NE NERFINISHED

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: Let the Right One In | Statement: [Steven Hoggett, notableWork, Let the Right One In]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let the Right One In
Context triple: [Steven Hoggett, notableWork, Let the Right One In]
  • A. Let the Right One In chosen
    Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
  • B. Lootera
    Lootera is a 2013 Indian period romantic drama film directed by Vikramaditya Motwane, loosely inspired by O. Henry’s short story "The Last Leaf."
  • C. Melindaou
    Melindaou is a prominent mountain peak in the Lefka Ori (White Mountains) range on the island of Crete in Greece.
  • D. It Follows
    It Follows is a 2014 supernatural horror film about a young woman pursued by a relentless, shape-shifting entity after a sexual encounter, acclaimed for its atmospheric tension and allegorical themes.
  • E. The Hurt Inside
    "The Hurt Inside" is a song featured on the Weeknd's critically acclaimed 2020 album "After Hours."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18294c4c8819083ef85d9cb736613 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.