Triple

T5564412
Position Surface form Disambiguated ID Type / Status
Subject Moi... Lolita E145845 entity
Predicate certificationUnitedKingdom P4914 FINISHED
Object Silver E16227 NE FINISHED

How this triple was built (3 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: Silver | Statement: [Moi... Lolita, certificationUnitedKingdom, Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver
Context triple: [Moi... Lolita, certificationUnitedKingdom, Silver]
  • A. Silver chosen
    Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
  • B. Gold
    Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
  • C. Gold
    Gold was the codename for one of the five Allied landing beaches used by British forces during the D-Day invasion of Normandy in World War II.
  • D. Gold
    Gold is a chemical element and precious metal highly valued for its rarity, luster, and use in jewelry, currency, and electronics.
  • E. Silver Center
    Silver Center is a historic academic building at New York University that houses classrooms, offices, and arts and science departments on the university’s Washington Square campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: certificationUnitedKingdom
Context triple: [Moi... Lolita, certificationUnitedKingdom, Silver]
  • A. certificationUK chosen
    Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
  • B. certificationUS
    Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
  • C. certificationAustralia
    Indicates that an entity holds or is associated with a certification that is valid or recognized in Australia.
  • D. certificationNewZealand
    Indicates that an entity holds or is associated with a certification that is specific to or recognized in New Zealand.
  • E. typeOfCertification
    Indicates the specific kind or category of certification associated with an entity.
  • F. None of above.

Provenance (4 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02032330c819094f2bc1e8c93a5b6 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284525148190a7bf88c22723552a completed March 22, 2026, 5:35 p.m.
PD Predicate disambiguation batch_69c01b12826c8190969a584d0f53aa44 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.