Triple
T17272352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKRC-TV |
E419293
|
entity |
| Predicate | notableBroadcaster |
P5401
|
FINISHED |
| Object |
Cammy Dierking
Cammy Dierking is a longtime Cincinnati television news anchor and journalist best known for her work on WKRC-TV (Local 12).
|
E1260321
|
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: Cammy Dierking | Statement: [WKRC-TV, notableBroadcaster, Cammy Dierking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cammy Dierking Context triple: [WKRC-TV, notableBroadcaster, Cammy Dierking]
-
A.
Jenee Fleenor
Jenee Fleenor is an American fiddle player, songwriter, and session musician renowned for her work in contemporary country music and as a trailblazing female instrumentalist in Nashville.
-
B.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Kath Soucie
Kath Soucie is an American voice actress known for her extensive work in animation, including prominent roles in series like Rugrats, Dexter's Laboratory, and many Disney productions.
-
D.
Kristi-Anne Kraft
Kristi-Anne Kraft is the daughter of pioneering NASA flight director and aerospace engineer Christopher C. Kraft Jr.
-
E.
Rebecca Kranz
Rebecca Kranz is known as the spouse of American industrialist and philanthropist Henry Crown.
- 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: Cammy Dierking Triple: [WKRC-TV, notableBroadcaster, Cammy Dierking]
Generated description
Cammy Dierking is a longtime Cincinnati television news anchor and journalist best known for her work on WKRC-TV (Local 12).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cammy Dierking Target entity description: Cammy Dierking is a longtime Cincinnati television news anchor and journalist best known for her work on WKRC-TV (Local 12).
-
A.
Jenee Fleenor
Jenee Fleenor is an American fiddle player, songwriter, and session musician renowned for her work in contemporary country music and as a trailblazing female instrumentalist in Nashville.
-
B.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Kath Soucie
Kath Soucie is an American voice actress known for her extensive work in animation, including prominent roles in series like Rugrats, Dexter's Laboratory, and many Disney productions.
-
D.
Kristi-Anne Kraft
Kristi-Anne Kraft is the daughter of pioneering NASA flight director and aerospace engineer Christopher C. Kraft Jr.
-
E.
Rebecca Kranz
Rebecca Kranz is known as the spouse of American industrialist and philanthropist Henry Crown.
- F. None of above. chosen
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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4b023c8190b92df4015c14c3a8 |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794d605481908b5e430c3142c203 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017b2642f8819084b339ea27ae1f84 |
completed | May 11, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017c0e82c08190a37a36af68550c19 |
completed | May 11, 2026, 6:49 a.m. |
Created at: April 10, 2026, 5:40 a.m.