Triple
T1501883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Perry |
E33814
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Katy Perry |
E33814
|
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: Katy Perry | Statement: [Katy Perry, stageName, Katy Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katy Perry Context triple: [Katy Perry, stageName, Katy Perry]
-
A.
Katy Perry
chosen
Katy Perry is an American pop singer and songwriter known for chart-topping hits like "Firework" and "Roar" and her colorful, theatrical performances.
-
B.
Meghan Trainor
Meghan Trainor is an American singer-songwriter and pop artist best known for her retro-influenced hits like "All About That Bass" and her body-positive, doo-wop-inspired sound.
-
C.
Ariana Grande
Ariana Grande is an American pop and R&B singer, songwriter, and actress known for her powerful, Mariah Carey–like vocal range and numerous chart-topping hits.
-
D.
Kelly
Kelly is the middle name of Richmond K. Turner, a prominent admiral in the United States Navy during World War II.
-
E.
Kelly
Kelly is a common Irish-origin surname widely used in 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872e41848190b35b37f32aef784f |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb3c5908190b3d5fe7a4dcaa234 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 4, 2026, 7:24 p.m.