Triple
T3126375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Toomp |
E65306
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
YoungBloodZ
YoungBloodZ is an American hip hop duo from Atlanta known for their crunk-influenced Southern rap hits in the early 2000s.
|
E330186
|
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: YoungBloodZ | Statement: [DJ Toomp, associatedAct, YoungBloodZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YoungBloodZ Context triple: [DJ Toomp, associatedAct, YoungBloodZ]
-
A.
Zay
Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
-
B.
Zan
Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
-
C.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
D.
Two Youths
"Two Youths" is an early 20th-century painting by Pablo Picasso from his Rose Period, characterized by its warm palette and focus on youthful, introspective figures.
-
E.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
- 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: YoungBloodZ Triple: [DJ Toomp, associatedAct, YoungBloodZ]
Generated description
YoungBloodZ is an American hip hop duo from Atlanta known for their crunk-influenced Southern rap hits in the early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YoungBloodZ Target entity description: YoungBloodZ is an American hip hop duo from Atlanta known for their crunk-influenced Southern rap hits in the early 2000s.
-
A.
Zay
Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
-
B.
Zan
Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
-
C.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
D.
Two Youths
"Two Youths" is an early 20th-century painting by Pablo Picasso from his Rose Period, characterized by its warm palette and focus on youthful, introspective figures.
-
E.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada544cb648190b5ed430dbd561d52 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7926248190b8f08e3a626e8eab |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2135f05c88190b926556828a038ac |
completed | March 12, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b214268d588190996d909297baaffc |
completed | March 12, 2026, 1:17 a.m. |
Created at: March 8, 2026, 3:04 p.m.