Triple
T12492594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyra Sedgwick |
E298603
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kyra |
E584475
|
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: Kyra | Statement: [Kyra Sedgwick, givenName, Kyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyra Context triple: [Kyra Sedgwick, givenName, Kyra]
-
A.
Kyra
chosen
Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
-
B.
Kyra Nichols
Kyra Nichols is an acclaimed American ballerina best known as one of the leading principal dancers of New York City Ballet during the late 20th century.
-
C.
Kyla
Kyla is a British R&B singer best known internationally for her vocals on Drake’s hit single “One Dance.”
-
D.
Kianna
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
-
E.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bab99bc8190abe6dfb7c6a7fe6f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.