Triple

T14540996
Position Surface form Disambiguated ID Type / Status
Subject Burnin' Up E341166 entity
Predicate certificationByARIA P13210 FINISHED
Object Gold E311837 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: Gold | Statement: [Burnin' Up, certificationByARIA, Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold
Context triple: [Burnin' Up, certificationByARIA, Gold]
  • A. 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.
  • B. Gold chosen
    Gold is a chemical element and precious metal highly valued for its rarity, luster, and use in jewelry, currency, and electronics.
  • C. 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.
  • D. GOLD
    GOLD is the radio call sign historically used by the British royal yacht HMY Britannia.
  • E. Silver
    Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5eb85c8190a0c1696b63ddf8e1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.