Triple

T8378258
Position Surface form Disambiguated ID Type / Status
Subject Johnny Marks E197627 entity
Predicate wrote P2831 FINISHED
Object Silver and Gold E729816 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: Silver and Gold | Statement: [Johnny Marks, wrote, Silver and Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver and Gold
Context triple: [Johnny Marks, wrote, Silver and Gold]
  • A. Silver and Gold
    "Silver and Gold" is a blues-rock song by U2, originally written in support of the anti-apartheid movement and later featured on their album and film project *Rattle and Hum*.
  • B. Silver and Gold chosen
    "Silver and Gold" is a popular Christmas song written by Johnny Marks, best known from its appearance in the 1964 Rankin/Bass television special "Rudolph the Red-Nosed Reindeer."
  • C. Oro y Plata
    Oro y Plata is the Spanish-language state motto of Montana, meaning "Gold and Silver" and reflecting the state's historic mining heritage.
  • D. Star Gold
    Star Gold is an Indian Hindi-language movie television channel known for broadcasting a wide range of Bollywood films.
  • E. Gold and Silver Rays
    Gold and Silver Rays is a specific grade within Japan’s Order of the Sacred Treasure, awarded to individuals for distinguished service to the nation.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c229708190b813f5e7e44e10d4 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:02 p.m.