Triple
T12582126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive Charles |
E300363
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Kasey Keller |
E869225
|
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: Kasey Keller | Statement: [Clive Charles, notableStudent, Kasey Keller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasey Keller Context triple: [Clive Charles, notableStudent, Kasey Keller]
-
A.
Kasey Keller
chosen
Kasey Keller is a former American goalkeeper known for his long professional career in Europe and Major League Soccer, as well as his key role with the United States national team in multiple World Cups.
-
B.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
C.
Casey Anderson
Casey Anderson is an American naturalist, wildlife expert, and television host best known for his work with grizzly bears and nature documentaries.
-
D.
Casey Johnson
Casey Johnson was an American socialite and heiress to the Johnson & Johnson fortune who gained media attention for her high-profile lifestyle and untimely death.
-
E.
Casey Siemaszko
Casey Siemaszko is an American actor best known for his roles in films such as "Back to the Future," "Stand by Me," and "Young Guns."
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b97a508190b6c901c506441dd0 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 5:03 p.m.