Triple
T13166614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss You Like Crazy |
E312865
|
entity |
| Predicate | hasCoverVersionBy |
P11142
|
FINISHED |
| Object | Kyla |
E968636
|
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: Kyla | Statement: [Miss You Like Crazy, hasCoverVersionBy, Kyla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyla Context triple: [Miss You Like Crazy, hasCoverVersionBy, Kyla]
-
A.
Kyla
Kyla is a feminine given name used in various English-speaking countries.
-
B.
Kyla
chosen
Kyla is a British R&B singer best known internationally for her vocals on Drake’s hit single “One Dance.”
-
C.
Kayla
Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
-
D.
Kianna
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
-
E.
Kyra
Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2a3f2881909af3e146ee24062d |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:13 p.m.