Triple
T12542320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KING |
E299871
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
KREM
KREM is a television station based in Spokane, Washington, known for its local news, weather, and CBS-affiliated programming.
|
E989164
|
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: KREM | Statement: [KING, sisterStation, KREM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KREM Context triple: [KING, sisterStation, KREM]
-
A.
Kream
"Kream" is a 2018 hip hop single by Australian rapper Iggy Azalea featuring Tyga, known for its bass-heavy production, club-oriented sound, and viral popularity.
-
B.
Steenbock
Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
-
C.
KMTN
KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
-
D.
Schmilco
Schmilco is a 2016 studio album by American alternative rock band Wilco, noted for its stripped-down, introspective, and acoustic-driven sound.
-
E.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
- 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: KREM Triple: [KING, sisterStation, KREM]
Generated description
KREM is a television station based in Spokane, Washington, known for its local news, weather, and CBS-affiliated programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KREM Target entity description: KREM is a television station based in Spokane, Washington, known for its local news, weather, and CBS-affiliated programming.
-
A.
Kream
"Kream" is a 2018 hip hop single by Australian rapper Iggy Azalea featuring Tyga, known for its bass-heavy production, club-oriented sound, and viral popularity.
-
B.
Steenbock
Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
-
C.
KMTN
KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
-
D.
Schmilco
Schmilco is a 2016 studio album by American alternative rock band Wilco, noted for its stripped-down, introspective, and acoustic-driven sound.
-
E.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547d6df4819080db8415d386ed38 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557e6d4c81909ed54a039e92a160 |
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.