Triple
T12545276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Curry |
E299945
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
KTVL
KTVL is a local television station in Medford, Oregon, known for being an early-career employer of journalist Ann Curry.
|
E153806
|
NE FINISHED |
How this triple was built (4 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: KTVL | Statement: [Ann Curry, employer, KTVL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTVL Context triple: [Ann Curry, employer, KTVL]
-
A.
KTVL
KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
-
B.
KTXL
KTXL is a Fox-affiliated television station serving the Sacramento, California market.
-
C.
KDTW
KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
-
D.
KTWV
KTWV is a Los Angeles-area radio station best known for its smooth jazz and contemporary music programming, branded as "The Wave."
-
E.
KVEA
KVEA is a Spanish-language television station serving the Los Angeles area and operating as part of the Telemundo network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KTVL Triple: [Ann Curry, employer, KTVL]
Generated description
KTVL is a local television station in Medford, Oregon, known for being an early-career employer of journalist Ann Curry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTVL Target entity description: KTVL is a local television station in Medford, Oregon, known for being an early-career employer of journalist Ann Curry.
-
A.
KTVL
chosen
KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
-
B.
KTXL
KTXL is a Fox-affiliated television station serving the Sacramento, California market.
-
C.
KDTW
KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
-
D.
KTWV
KTWV is a Los Angeles-area radio station best known for its smooth jazz and contemporary music programming, branded as "The Wave."
-
E.
KVEA
KVEA is a Spanish-language television station serving the Los Angeles area and operating as part of the Telemundo network.
- F. None of above.
Provenance (5 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_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566f40c08190baec227fb660c948 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aa1bf48190a884e0dfce31e30e |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.