Triple
T12545275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Curry |
E299945
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | KGW |
E989165
|
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: KGW | Statement: [Ann Curry, employer, KGW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGW Context triple: [Ann Curry, employer, KGW]
-
A.
KGW
chosen
KGW is a television station in Portland, Oregon, that serves as a major local news and NBC network affiliate.
-
B.
KWG
KWG is the National Rail station code for Kew Gardens railway station in London, England.
-
C.
KMGW
KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
-
D.
KGJT
KGJT is the ICAO airport code for Grand Junction Regional Airport, a public airport serving Grand Junction in western Colorado, United States.
-
E.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb317148190990d47f50324a1b1 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.