Triple
T17965352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyla Ross |
E449190
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kyla |
—
|
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: Kyla | Statement: [Kyla Ross, givenName, Kyla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyla Context triple: [Kyla Ross, givenName, Kyla]
-
A.
Kyla
chosen
Kyla is a feminine given name used in various English-speaking countries.
-
B.
Kyla
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.
Kayla
Kayla is a young child in Jesmyn Ward’s novel "Sing, Unburied, Sing," symbolizing innocence and hope amid her family’s struggles with racism, addiction, and generational trauma in rural Mississippi.
-
E.
Kailyn
Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b136e4088190ac97fd92dc84a4b9 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.