Triple

T19048708
Position Surface form Disambiguated ID Type / Status
Subject I'll Be Your Mirror E466201 entity
Predicate publisher P29 FINISHED
Object Scalo 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: Scalo | Statement: [I'll Be Your Mirror, publisher, Scalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scalo
Context triple: [I'll Be Your Mirror, publisher, Scalo]
  • A. Scalo chosen
    Scalo was a Swiss independent art book publisher known for producing high-quality photography and contemporary art publications.
  • B. Aspredo
    Aspredo is a genus of banjo catfishes native to freshwater and brackish habitats in South America, known for their flattened bodies and unusual reproductive behavior.
  • C. Tignale
    Tignale is a small Italian municipality in the Lombardy region, known for its scenic position on the western shore of Lake Garda and its surrounding natural landscapes.
  • D. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • E. Palisade
    Palisade is a small town in western Colorado known for its peach orchards, wineries, and scenic location along the Colorado River near Grand Junction.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8062ea481908cf3fcb790a74956 completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.