Triple

T18538244
Position Surface form Disambiguated ID Type / Status
Subject Sherlock Gnomes E453020 entity
Predicate productionCompany P490 FINISHED
Object Mikros Image 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: Mikros Image | Statement: [Sherlock Gnomes, productionCompany, Mikros Image]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikros Image
Context triple: [Sherlock Gnomes, productionCompany, Mikros Image]
  • A. Mikros Image chosen
    Mikros Image is a visual effects and animation studio known for its work on feature films and animated projects.
  • B. Nu Image
    Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
  • C. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • D. Microscopic Imager
    The Microscopic Imager is a close-up camera on the Mars Exploration Rovers designed to capture detailed, microscope-like images of Martian rocks and soil to study their fine-scale textures and structures.
  • E. MCRO
    MCRO is the stock ticker symbol for Micro Focus International, a British multinational software and information technology company known for enterprise software solutions.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534030bd88190b25b95305a12a0c1 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.