Triple

T15026842
Position Surface form Disambiguated ID Type / Status
Subject Leighton Meester E378238 entity
Predicate appearedInFilm P795 FINISHED
Object The Roommate E776466 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 Roommate | Statement: [Leighton Meester, appearedInFilm, The Roommate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Roommate
Context triple: [Leighton Meester, appearedInFilm, The Roommate]
  • A. The Roommate chosen
    The Roommate is a 2011 psychological thriller film about a college freshman whose seemingly friendly roommate becomes dangerously obsessed with her.
  • B. The Room Next Door
    The Room Next Door is a film produced by Neal Dodson, known for its intimate, character-driven storytelling.
  • C. The Spare Room
    The Spare Room is a critically acclaimed novel by Australian writer Helen Garner that explores friendship, mortality, and the emotional toll of caring for a terminally ill loved one.
  • D. The Room
    The Room is a one-act play by Harold Pinter that exemplifies his early use of menace, ambiguity, and claustrophobic domestic settings.
  • E. The Room
    The Room is a 2019 French science-fiction thriller film in which a couple discovers their new house can magically grant any wish, starring Olga Kurylenko.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.