Triple
T11721920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Kelly Cole |
E278654
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Casey Cole |
E278653
|
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: Casey Cole | Statement: [Nat Kelly Cole, sibling, Casey Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Cole Context triple: [Nat Kelly Cole, sibling, Casey Cole]
-
A.
Casey Cole
chosen
Casey Cole is one of the children of legendary American jazz pianist and singer Nat King Cole.
-
B.
Casey Davenport
Casey Davenport is a character from the animated series "Wings," likely serving as one of the show's central or recurring figures.
-
C.
Casey Wescott
Casey Wescott is an American musician best known as the keyboardist and multi-instrumentalist for the indie folk band Fleet Foxes.
-
D.
Casey Connor
Casey Connor is the shy, observant high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
-
E.
Casey Stoney
Casey Stoney is a former England international defender who has become a prominent women's football manager, known for her successful coaching roles in top-level clubs.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16679c0ec81909fe80d75dd582db1 |
completed | April 29, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:40 p.m.