Triple
T12823586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lon Kruger |
E306591
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kevin Kruger
Kevin Kruger is an American college basketball coach and former player, known for serving as the head men's basketball coach at UNLV.
|
E1004402
|
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: Kevin Kruger | Statement: [Lon Kruger, child, Kevin Kruger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Kruger Context triple: [Lon Kruger, child, Kevin Kruger]
-
A.
Peter Krikes
Peter Krikes is a screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
-
B.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
C.
Mike Krause
Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
-
D.
Anthony Czarnik
Anthony Czarnik is an American chemist and entrepreneur best known as a co-founder of the genomics company Illumina.
-
E.
Josh Kirby
Josh Kirby was a British commercial artist and illustrator best known for his imaginative, humorous cover art for Terry Pratchett’s Discworld novels.
- 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: Kevin Kruger Triple: [Lon Kruger, child, Kevin Kruger]
Generated description
Kevin Kruger is an American college basketball coach and former player, known for serving as the head men's basketball coach at UNLV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Kruger Target entity description: Kevin Kruger is an American college basketball coach and former player, known for serving as the head men's basketball coach at UNLV.
-
A.
Peter Krikes
Peter Krikes is a screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
-
B.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
C.
Mike Krause
Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
-
D.
Anthony Czarnik
Anthony Czarnik is an American chemist and entrepreneur best known as a co-founder of the genomics company Illumina.
-
E.
Josh Kirby
Josh Kirby was a British commercial artist and illustrator best known for his imaginative, humorous cover art for Terry Pratchett’s Discworld novels.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96edcc99c8190986cd78fe4714835 |
completed | April 10, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed337248190a007fe18c6379910 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f691341d0081909ca3b281ee64b42b |
completed | May 3, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f692361c3c81909078a19be1a86231 |
completed | May 3, 2026, 12:09 a.m. |
Created at: April 9, 2026, 5:32 p.m.