Triple

T3651979
Position Surface form Disambiguated ID Type / Status
Subject I Feel the Earth Move E77437 entity
Predicate hasNotableCoverVersionBy P11142 FINISHED
Object Martika
Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
E374887 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: Martika | Statement: [I Feel the Earth Move, hasNotableCoverVersionBy, Martika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martika
Context triple: [I Feel the Earth Move, hasNotableCoverVersionBy, Martika]
  • A. Lili Damita
    Lili Damita was a French-American actress and former dancer known for her roles in early sound films and for her high-profile marriage to Hollywood star Errol Flynn.
  • B. Fairuza Balk
    Fairuza Balk is an American actress known for her intense, offbeat roles in films such as "The Craft," "American History X," and "Almost Famous."
  • C. Nina Moglina
    Nina Moglina was the daughter of Zinaida Volkova, making her a granddaughter of the Russian revolutionary Leon Trotsky.
  • D. Mika
    Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
  • E. Marija
    Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
  • 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: Martika
Triple: [I Feel the Earth Move, hasNotableCoverVersionBy, Martika]
Generated description
Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martika
Target entity description: Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
  • A. Lili Damita
    Lili Damita was a French-American actress and former dancer known for her roles in early sound films and for her high-profile marriage to Hollywood star Errol Flynn.
  • B. Fairuza Balk
    Fairuza Balk is an American actress known for her intense, offbeat roles in films such as "The Craft," "American History X," and "Almost Famous."
  • C. Nina Moglina
    Nina Moglina was the daughter of Zinaida Volkova, making her a granddaughter of the Russian revolutionary Leon Trotsky.
  • D. Mika
    Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
  • E. Marija
    Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b664448190986b5223d59de282 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f435c088190976c1dab165665f1 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b44fd80f408190a0fd4d663dbfb094 completed March 13, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69b4504126c081909cbdc952f7e1e400 completed March 13, 2026, 5:58 p.m.
Created at: March 8, 2026, 3:24 p.m.