Triple

T14189537
Position Surface form Disambiguated ID Type / Status
Subject Betsy Rue E351673 entity
Predicate notableWork P4 FINISHED
Object My Bloody Valentine 3D E46504 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: My Bloody Valentine 3D | Statement: [Betsy Rue, notableWork, My Bloody Valentine 3D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Bloody Valentine 3D
Context triple: [Betsy Rue, notableWork, My Bloody Valentine 3D]
  • A. My Bloody Valentine 3D chosen
    My Bloody Valentine 3D is a 2009 American slasher horror film presented in 3D, known for its graphic violence and as a remake of the 1981 film "My Bloody Valentine."
  • B. Velvet Buzzsaw
    Velvet Buzzsaw is a satirical horror-thriller film set in the contemporary art world, where cursed artworks unleash deadly supernatural forces on those who exploit them.
  • C. Bleed
    "Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
  • D. Mogwai Fear Satan
    "Mogwai Fear Satan" is an expansive, mostly instrumental post-rock track by Scottish band Mogwai, known for its dynamic shifts between quiet atmospherics and intense, distorted crescendos.
  • E. In the Flesh
    In the Flesh is a British film featuring actress Rita Tushingham in a prominent role.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.