Triple
T22450830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Keeso |
E554983
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Keeso
Keeso is a Canadian surname most notably associated with actor and creator Jared Keeso, known for the television series "Letterkenny."
|
E1537429
|
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: Keeso | Statement: [Jared Keeso, familyName, Keeso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keeso Context triple: [Jared Keeso, familyName, Keeso]
-
A.
Keysoe
Keysoe is a small rural village in Bedfordshire, England, known for its agricultural surroundings and equestrian facilities.
-
B.
Kayso
Kayso is a Ghanaian music producer known for crafting contemporary Afrobeat and hip-hop sounds for prominent artists.
-
C.
Keet Seel
Keet Seel is one of the best-preserved Ancestral Puebloan cliff dwellings in the American Southwest, renowned for its extensive ruins and remarkable state of conservation.
-
D.
Kruso
Kruso is a critically acclaimed novel by Lutz Seiler that explores friendship, exile, and the final days of East Germany on a Baltic Sea island.
-
E.
Kakisa
Kakisa is a small Indigenous community in the South Slave Region of the Northwest Territories, Canada, known for its proximity to Kakisa Lake and traditional Dene culture.
- 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: Keeso Triple: [Jared Keeso, familyName, Keeso]
Generated description
Keeso is a Canadian surname most notably associated with actor and creator Jared Keeso, known for the television series "Letterkenny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keeso Target entity description: Keeso is a Canadian surname most notably associated with actor and creator Jared Keeso, known for the television series "Letterkenny."
-
A.
Keysoe
Keysoe is a small rural village in Bedfordshire, England, known for its agricultural surroundings and equestrian facilities.
-
B.
Kayso
Kayso is a Ghanaian music producer known for crafting contemporary Afrobeat and hip-hop sounds for prominent artists.
-
C.
Keet Seel
Keet Seel is one of the best-preserved Ancestral Puebloan cliff dwellings in the American Southwest, renowned for its extensive ruins and remarkable state of conservation.
-
D.
Kruso
Kruso is a critically acclaimed novel by Lutz Seiler that explores friendship, exile, and the final days of East Germany on a Baltic Sea island.
-
E.
Kakisa
Kakisa is a small Indigenous community in the South Slave Region of the Northwest Territories, Canada, known for its proximity to Kakisa Lake and traditional Dene culture.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c79028c8190bcefe8549a81f777 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d10a50881909fb586a3c529623d |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0daf9bac819086166985458f6742 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:48 p.m.