Triple
T362029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koop |
E7875
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
|
E45814
|
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: Koops | Statement: [Koop, hasVariant, Koops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koops Context triple: [Koop, hasVariant, Koops]
-
A.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
-
B.
Koos
Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
-
C.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Tré Cool
Tré Cool is the longtime drummer of the American punk rock band Green Day, known for his energetic playing style and stage presence.
- 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: Koops Triple: [Koop, hasVariant, Koops]
Generated description
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koops Target entity description: Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
A.
Koop
Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
-
B.
Koos
Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
-
C.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Tré Cool
Tré Cool is the longtime drummer of the American punk rock band Green Day, known for his energetic playing style and stage presence.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebcfb0f48190b9a9010c7837ac58 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e57a56e081909004fcd7e15f457c |
completed | March 1, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69a3e5e50b848190ab5d036719048df8 |
completed | March 1, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3e63c749c8190b5bfd85b7ccafa9c |
completed | March 1, 2026, 7:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.