Triple
T22916153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World IBJJF Jiu-Jitsu Championship |
E568737
|
entity |
| Predicate | hasNotableChampion |
P2766
|
FINISHED |
| Object |
Cobrinha
Cobrinha is a legendary Brazilian jiu-jitsu competitor and multiple-time world champion renowned for his dynamic guard game and technical mastery.
|
E1561414
|
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: Cobrinha | Statement: [World IBJJF Jiu-Jitsu Championship, hasNotableChampion, Cobrinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobrinha Context triple: [World IBJJF Jiu-Jitsu Championship, hasNotableChampion, Cobrinha]
-
A.
Serpent
Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
-
B.
Serpent
"Serpent" is a track by the electronic music duo TNGHT, known for its heavy, experimental trap-influenced production.
-
C.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
-
D.
Víbora
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
-
E.
King Kobra
King Kobra is an American hard rock and glam metal band formed in the 1980s, known for its melodic hooks and association with prominent acts in the Los Angeles metal scene.
- 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: Cobrinha Triple: [World IBJJF Jiu-Jitsu Championship, hasNotableChampion, Cobrinha]
Generated description
Cobrinha is a legendary Brazilian jiu-jitsu competitor and multiple-time world champion renowned for his dynamic guard game and technical mastery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cobrinha Target entity description: Cobrinha is a legendary Brazilian jiu-jitsu competitor and multiple-time world champion renowned for his dynamic guard game and technical mastery.
-
A.
Serpent
Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
-
B.
Serpent
"Serpent" is a track by the electronic music duo TNGHT, known for its heavy, experimental trap-influenced production.
-
C.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
-
D.
Víbora
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
-
E.
King Kobra
King Kobra is an American hard rock and glam metal band formed in the 1980s, known for its melodic hooks and association with prominent acts in the Los Angeles metal scene.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc23fe3c4819086feffb2c7844147 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc31b94f481909c437296742cfed8 |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc38cf34c8190aaca05bbf32d28de |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:42 p.m.