Triple
T15510295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayte Walsh |
E368689
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kayte Walsh |
E368689
|
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: Kayte Walsh | Statement: [Kayte Walsh, name, Kayte Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayte Walsh Context triple: [Kayte Walsh, name, Kayte Walsh]
-
A.
Kayte Walsh
chosen
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
B.
Kathy Walsh
Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
-
C.
Rachel Kelley
Rachel Kelley was the mother of Jesse Root Grant and the paternal grandmother of U.S. President Ulysses S. Grant.
-
D.
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
E.
Celeste Ackelson
Celeste Ackelson is an American public relations professional best known as the wife of actor Brian Baumgartner, who played Kevin Malone on the U.S. version of "The Office."
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 3:55 a.m.