Triple
T404117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Aguilera |
E9347
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aguilera |
E9347
|
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: Aguilera | Statement: [Christina Aguilera, familyName, Aguilera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguilera Context triple: [Christina Aguilera, familyName, Aguilera]
-
A.
Christina Aguilera
chosen
Christina Aguilera is an American pop and R&B singer known for her powerful vocal range, soulful performances, and hits like "Genie in a Bottle" and "Beautiful."
-
B.
Shakira
Shakira is a Colombian singer, songwriter, and performer renowned worldwide for her distinctive voice, Latin pop hits, and dynamic dance style.
-
C.
Lolita Baucaire
Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
-
D.
Lady Gaga
Lady Gaga is an American singer, songwriter, and actress known for her powerful vocals, theatrical performances, and influence on contemporary pop music and fashion.
-
E.
Katy Perry
Katy Perry is an American pop singer and songwriter known for chart-topping hits like "Firework" and "Roar" and her colorful, theatrical performances.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca226fc81909d6ccc38a637daa6 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41774cd008190a254facf9cba90b6 |
completed | March 1, 2026, 10:39 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.