Triple

T1373945
Position Surface form Disambiguated ID Type / Status
Subject Las Vegas Raiders E30176 entity
Predicate teamNickname P5076 FINISHED
Object Silver and Black
Silver and Black is the iconic nickname referring to the Las Vegas Raiders’ distinctive team colors and hard-nosed identity in the NFL.
 E158146 NE FINISHED

How this triple was built (4 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 Black | Statement: [Las Vegas Raiders, teamNickname, Silver and Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silver and Black
Context triple: [Las Vegas Raiders, teamNickname, Silver and Black]
  • 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. Case White
    Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
  • C. Tiffany Blue
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • D. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • E. Silver
    Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silver and Black
Triple: [Las Vegas Raiders, teamNickname, Silver and Black]
Generated description
Silver and Black is the iconic nickname referring to the Las Vegas Raiders’ distinctive team colors and hard-nosed identity in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silver and Black
Target entity description: Silver and Black is the iconic nickname referring to the Las Vegas Raiders’ distinctive team colors and hard-nosed identity in the NFL.
  • 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. Case White
    Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
  • C. Tiffany Blue
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • D. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • E. Silver
    Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
  • F. None of above. chosen

Provenance (5 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f660888190bc9240e0dc4f0aa3 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48397c88190b5be985bf92d47b8 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd4efb73881908dda4973befc6aa5 completed March 8, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69acd56ef0b081909df2efee97a4197c completed March 8, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:57 p.m.