Triple
T15340878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasiliy Lomachenko |
E366789
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Hi-Tech
Hi-Tech is the ring nickname of Ukrainian boxing champion Vasiliy Lomachenko, known for his exceptional technical skill and precision.
|
E1152070
|
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: Hi-Tech | Statement: [Vasiliy Lomachenko, nickname, Hi-Tech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hi-Tech Context triple: [Vasiliy Lomachenko, nickname, Hi-Tech]
-
A.
Tech High
Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
-
B.
Smart Tech
Smart Tech is the fictional electronics retail store where the main characters work in the comedy film "The 40-Year-Old Virgin."
-
C.
Technologic
"Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
-
D.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
E.
Tehkal
Tehkal is a neighborhood and administrative area within the city of Peshawar in Pakistan’s Khyber Pakhtunkhwa province.
- 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: Hi-Tech Triple: [Vasiliy Lomachenko, nickname, Hi-Tech]
Generated description
Hi-Tech is the ring nickname of Ukrainian boxing champion Vasiliy Lomachenko, known for his exceptional technical skill and precision.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hi-Tech Target entity description: Hi-Tech is the ring nickname of Ukrainian boxing champion Vasiliy Lomachenko, known for his exceptional technical skill and precision.
-
A.
Tech High
Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
-
B.
Smart Tech
Smart Tech is the fictional electronics retail store where the main characters work in the comedy film "The 40-Year-Old Virgin."
-
C.
Technologic
"Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
-
D.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
E.
Tehkal
Tehkal is a neighborhood and administrative area within the city of Peshawar in Pakistan’s Khyber Pakhtunkhwa province.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f55e9881908612c4e384836fb5 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff030970588190a793cd710e819635 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff04633de08190867ad3baec6b2b02 |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.