Triple
T20485092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie |
E502569
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Happy Perez |
—
|
NE NERFINISHED |
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: Happy Perez | Statement: [Charlie, producer, Happy Perez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Perez Context triple: [Charlie, producer, Happy Perez]
-
A.
Happy Perez
chosen
Happy Perez is an American record producer and songwriter known for crafting smooth, R&B-infused hits for artists like Miguel, Mariah Carey, and H.E.R.
-
B.
Criado Perez
Criado Perez is the surname of Caroline Criado Perez, a British feminist activist and writer known for her work on gender equality and representation.
-
C.
Franky Perez
Franky Perez is an American rock singer and guitarist known for his solo work and collaborations with various hard rock and metal bands.
-
D.
Gomez
Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
-
E.
Jimmy Perez
Jimmy Perez is the thoughtful and determined Shetland police detective at the center of Ann Cleeves’ crime novels and their television adaptation "Shetland."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b59ae2c8190bfa26a3f1e59b8d1 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.