Triple
T7829136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamba Sports Academy |
E181321
|
entity |
| Predicate | brandAssociatedWith |
P1500
|
FINISHED |
| Object |
Mamba
Mamba is the personal brand and nickname of NBA legend Kobe Bryant, symbolizing his intense competitive mentality and legacy in basketball and beyond.
|
E695375
|
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: Mamba | Statement: [Mamba Sports Academy, brandAssociatedWith, Mamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamba Context triple: [Mamba Sports Academy, brandAssociatedWith, Mamba]
-
A.
Mamba
Mamba is a high-speed steel hypercoaster at Worlds of Fun in Kansas City, Missouri, known for its large drops and airtime-filled layout.
-
B.
White Mamba
White Mamba is the nickname of Diana Taurasi, a legendary WNBA guard renowned for her scoring ability, competitiveness, and clutch performances.
-
C.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
D.
Mambi
Mambi is a regional dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
-
E.
Motobu
Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
- 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: Mamba Triple: [Mamba Sports Academy, brandAssociatedWith, Mamba]
Generated description
Mamba is the personal brand and nickname of NBA legend Kobe Bryant, symbolizing his intense competitive mentality and legacy in basketball and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamba Target entity description: Mamba is the personal brand and nickname of NBA legend Kobe Bryant, symbolizing his intense competitive mentality and legacy in basketball and beyond.
-
A.
Mamba
Mamba is a high-speed steel hypercoaster at Worlds of Fun in Kansas City, Missouri, known for its large drops and airtime-filled layout.
-
B.
White Mamba
White Mamba is the nickname of Diana Taurasi, a legendary WNBA guard renowned for her scoring ability, competitiveness, and clutch performances.
-
C.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
D.
Mambi
Mambi is a regional dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
-
E.
Motobu
Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14b955488190a4ce0178d84d1dc6 |
completed | March 31, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69cb1734e5d88190a3d894199ee2fbfe |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a7165f08190a37787f1e5e5ec86 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:44 p.m.