Triple
T15976131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janis Sarkisian |
E387452
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Janis Ian |
E1100276
|
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 Ian | Statement: [Janis Sarkisian, basedOn, Janis Ian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janis Ian Context triple: [Janis Sarkisian, basedOn, Janis Ian]
-
A.
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.
-
B.
Janis Ian
chosen
Janis Ian is an American singer-songwriter best known for her introspective folk and pop songs, including the Grammy-winning hit "At Seventeen."
-
C.
Janis Siegel
Janis Siegel is an American jazz and pop vocalist best known as a longtime member of the Grammy-winning vocal group The Manhattan Transfer.
-
D.
Laura Nyro
Laura Nyro was an influential American singer-songwriter known for her soulful, genre-blending compositions and powerful vocal performances in the 1960s and 1970s.
-
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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575166d081909c5275c235c8ce0f |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff293c2248190993d5d74eaf626bc |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:54 a.m.