Triple
T13151955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George W. Casey Jr. |
E312487
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Casey |
E304123
|
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 | Statement: [George W. Casey Jr., familyName, Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Context triple: [George W. Casey Jr., familyName, Casey]
-
A.
Casey
Casey is an Australian Antarctic research station located in the Australian Antarctic Territory.
-
B.
Casey
Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
-
C.
Casey
chosen
Casey is a common Irish-origin surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
D.
Casey
Casey is a residential suburb in the Canberra region of the Australian Capital Territory.
-
E.
Casey
Casey is a witty, outspoken best friend character in the romantic comedy film "27 Dresses," known for providing comic relief and candid advice to the protagonist.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd317e0819086e383f8e4583630 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaeca00c8190aa5645d1084c7d60 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.