Triple
T2159134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am... Sasha Fierce |
E47960
|
entity |
| Predicate | followUpSingle |
P26099
|
FINISHED |
| Object | Diva |
E240615
|
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: Diva | Statement: [I Am... Sasha Fierce, followUpSingle, Diva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diva Context triple: [I Am... Sasha Fierce, followUpSingle, Diva]
-
A.
Diva
chosen
"Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
-
B.
Prima Donna
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
-
C.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
D.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
-
E.
Annette
Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc5af20808190902031d8c0bba376 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d962a2c8190be1e3ae48367abad |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.