Triple

T18094706
Position Surface form Disambiguated ID Type / Status
Subject Whisky a Go Go E433052 entity
Predicate hostedEarlyPerformancesOf P38415 FINISHED
Object Janis Joplin NE NERFINISHED

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: [Whisky a Go Go, hostedEarlyPerformancesOf, Janis Joplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janis Joplin
Context triple: [Whisky a Go Go, hostedEarlyPerformancesOf, 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 (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1b670081908e1e1083436da04e completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.