Triple
T8537026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiona Apple |
E202102
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Shameika |
E198284
|
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: Shameika | Statement: [Fiona Apple, notableSong, Shameika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shameika Context triple: [Fiona Apple, notableSong, Shameika]
-
A.
Shameika
chosen
"Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
-
B.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
C.
LaTisha
LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
-
D.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
-
E.
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a3f024819095d560a205ff1c75 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8c666881908785079f059f88c8 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.