Triple
T21730528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christmas Hurdle |
E536391
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Kribensis
Kribensis was a top-class National Hunt racehorse best known for his success over hurdles in the late 1980s and early 1990s.
|
E1500271
|
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: Kribensis | Statement: [Christmas Hurdle, notableWinner, Kribensis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kribensis Context triple: [Christmas Hurdle, notableWinner, Kribensis]
-
A.
Kapong
Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
-
B.
Kapong
Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
-
C.
Pangio
Pangio is a genus of small, slender freshwater loaches commonly known as kuhli loaches, popular in the aquarium trade and native to Southeast Asia.
-
D.
Maylandia zebra
Maylandia zebra is a brightly colored African cichlid fish from Lake Malawi, popular in the aquarium trade and known for its bold vertical striping.
-
E.
Phractocephalus
Phractocephalus is a genus of large South American freshwater catfish best known for the popular aquarium and game species redtail catfish (Phractocephalus hemioliopterus).
- 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: Kribensis Triple: [Christmas Hurdle, notableWinner, Kribensis]
Generated description
Kribensis was a top-class National Hunt racehorse best known for his success over hurdles in the late 1980s and early 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kribensis Target entity description: Kribensis was a top-class National Hunt racehorse best known for his success over hurdles in the late 1980s and early 1990s.
-
A.
Kapong
Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
-
B.
Kapong
Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
-
C.
Pangio
Pangio is a genus of small, slender freshwater loaches commonly known as kuhli loaches, popular in the aquarium trade and native to Southeast Asia.
-
D.
Maylandia zebra
Maylandia zebra is a brightly colored African cichlid fish from Lake Malawi, popular in the aquarium trade and known for its bold vertical striping.
-
E.
Phractocephalus
Phractocephalus is a genus of large South American freshwater catfish best known for the popular aquarium and game species redtail catfish (Phractocephalus hemioliopterus).
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd064fcc819084852b4248f65a81 |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ece628c8190b189516764b2ecdb |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a32fb6c2c81908ecdcf3acad3cf36 |
completed | May 17, 2026, 9:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a33b435e08190a595c32a3747d1fd |
completed | May 17, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:48 p.m.