Triple

T4553798
Position Surface form Disambiguated ID Type / Status
Subject The Naked Truth E120432 entity
Predicate hasProducer P30366 FINISHED
Object Red Spyda
Red Spyda is a hip-hop music producer known for crafting gritty, sample-driven beats for prominent rap artists and soundtracks.
E452140 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: Red Spyda | Statement: [The Naked Truth, hasProducer, Red Spyda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Spyda
Context triple: [The Naked Truth, hasProducer, Red Spyda]
  • A. The Spy
    "The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
  • B. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • C. The Spike
    The Spike is a tall, stainless-steel needle-like monument in central Dublin that serves as a prominent modern city landmark.
  • D. SPY
    SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
  • E. Silver Scorpion
    Silver Scorpion is a Marvel Comics superheroine associated with the World War II–era team the Invaders, known for her costumed crimefighting alongside other Golden Age heroes.
  • 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: Red Spyda
Triple: [The Naked Truth, hasProducer, Red Spyda]
Generated description
Red Spyda is a hip-hop music producer known for crafting gritty, sample-driven beats for prominent rap artists and soundtracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red Spyda
Target entity description: Red Spyda is a hip-hop music producer known for crafting gritty, sample-driven beats for prominent rap artists and soundtracks.
  • A. The Spy
    "The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
  • B. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • C. The Spike
    The Spike is a tall, stainless-steel needle-like monument in central Dublin that serves as a prominent modern city landmark.
  • D. SPY
    SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
  • E. Silver Scorpion
    Silver Scorpion is a Marvel Comics superheroine associated with the World War II–era team the Invaders, known for her costumed crimefighting alongside other Golden Age heroes.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd58127ed08190a04962a43afb888b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc575e3388190ac95b9e0537fb701 completed March 20, 2026, 10:08 p.m.
NEDg Description generation batch_69bdc62597f08190be0225e16967401f completed March 20, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69bdc686caa4819093d3ebb9ad47846d completed March 20, 2026, 10:13 p.m.
Created at: March 20, 2026, 1:09 p.m.