Triple

T17341713
Position Surface form Disambiguated ID Type / Status
Subject To Love Somebody E421081 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Janis Joplin E102267 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: Janis Joplin | Statement: [To Love Somebody, hasCoverVersionBy, Janis Joplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janis Joplin
Context triple: [To Love Somebody, hasCoverVersionBy, Janis Joplin]
  • A. Janis Joplin chosen
    Janis Joplin was a powerhouse American rock and blues singer of the late 1960s, renowned for her raw, soulful voice and electrifying stage presence.
  • B. Shirley Boone
    Shirley Boone was an American philanthropist, author, and gospel singer best known as the longtime wife and collaborator of entertainer Pat Boone.
  • C. Janis Ian
    Janis Ian is an American singer-songwriter best known for her introspective folk and pop songs, including the Grammy-winning hit "At Seventeen."
  • D. Janis Ian
    Janis Ian is a sharp-witted, artsy outsider and key protagonist in the teen comedy film "Mean Girls," known for orchestrating a plan to take down the school's popular clique.
  • E. Janis
    Janis is a given name, often used as a variant of Janice, that can be masculine or feminine depending on cultural context.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a173e1c8190afcebf25ee902cc8 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.