Triple
T3476961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Day |
E73397
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
TisaKorean
TisaKorean is an American rapper, producer, and dancer known for his offbeat, dance-oriented hip-hop tracks and viral social media presence.
|
E361755
|
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: TisaKorean | Statement: [The Big Day, producer, TisaKorean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TisaKorean Context triple: [The Big Day, producer, TisaKorean]
-
A.
Taeyangjeol
Taeyangjeol is a major North Korean national holiday commemorating the birth of the country's founding leader, Kim Il-sung.
-
B.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
C.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
D.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
E.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
- 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: TisaKorean Triple: [The Big Day, producer, TisaKorean]
Generated description
TisaKorean is an American rapper, producer, and dancer known for his offbeat, dance-oriented hip-hop tracks and viral social media presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TisaKorean Target entity description: TisaKorean is an American rapper, producer, and dancer known for his offbeat, dance-oriented hip-hop tracks and viral social media presence.
-
A.
Taeyangjeol
Taeyangjeol is a major North Korean national holiday commemorating the birth of the country's founding leader, Kim Il-sung.
-
B.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
C.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
D.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
E.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681586788190ade529f584b76396 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b3696adb2c81909f67c90c31921097 |
completed | March 13, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36d2bd5e88190b425e71d2585e9dc |
completed | March 13, 2026, 1:49 a.m. |
Created at: March 8, 2026, 3:17 p.m.