Triple

T7629621
Position Surface form Disambiguated ID Type / Status
Subject Uisang E172726 entity
Predicate nativeName P15 FINISHED
Object 의상 E488638 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: 의상 | Statement: [Uisang, nativeName, 의상]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 의상
Context triple: [Uisang, nativeName, 의상]
  • A. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • B. Adorn
    "Adorn" is a Grammy-winning R&B single by American singer Miguel, known for its smooth vocals and sensual, minimalist production.
  • C. Outfit
    Outfit is a common nickname for the Chicago Outfit, a powerful Italian-American organized crime syndicate historically based in Chicago.
  • D. Hanbok chosen
    Hanbok is the traditional Korean attire characterized by vibrant colors, simple lines, and a graceful, flowing silhouette worn on special occasions and cultural ceremonies.
  • E. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa84adb08190885138fc9b908ebf completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870af222481909e341eebb78664d6 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:56 p.m.