Triple
T10379911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karla Wilson |
E244609
|
entity |
| Predicate | appearsWith |
P4540
|
FINISHED |
| Object | Estes |
E853458
|
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: Estes | Statement: [Karla Wilson, appearsWith, Estes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estes Context triple: [Karla Wilson, appearsWith, Estes]
-
A.
Estes
chosen
Estes is a surname of English and Scottish origin borne by various notable individuals across politics, sports, and the arts.
-
B.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
C.
Essa
Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:03 p.m.