Triple
T21347607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Bernard Grossman |
E526380
|
entity |
| Predicate | managed |
P3234
|
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: [Albert Bernard Grossman, managed, Janis Joplin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janis Joplin Context triple: [Albert Bernard Grossman, managed, 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad2d01b481909d9b4813ff37905c |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5 p.m.