Triple
T4649914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janis Joplin |
E102267
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Janis |
E358888
|
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 | Statement: [Janis Joplin, givenName, Janis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janis Context triple: [Janis Joplin, givenName, Janis]
-
A.
Janis
chosen
Janis is a given name, often used as a variant of Janice, that can be masculine or feminine depending on cultural context.
-
B.
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.
-
C.
Janis Oliver
Janis Oliver is an American country music singer and guitarist best known as one half of the duo Sweethearts of the Rodeo.
-
D.
Janis Hunter
Janis Hunter was the second wife of soul legend Marvin Gaye and the inspiration for several of his songs, including much of the album "Let's Get It On."
-
E.
Nina Holiday
Nina Holiday is a character portrayed by Idara Victor, best known as a tech-savvy analyst on the television series "Rizzoli & Isles."
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6302078081909451589d39c7b28c |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfae3d8f4819082ec002bc4d9819d |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.