Triple
T8723008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeezy |
E207056
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Go Crazy
"Go Crazy" is a popular hip-hop single by Jeezy featuring Jay-Z, known for its soulful production and influential role in mid-2000s Southern rap.
|
E752938
|
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: Go Crazy | Statement: [Jeezy, notableWork, Go Crazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Crazy Context triple: [Jeezy, notableWork, Go Crazy]
-
A.
Go Crazy
"Go Crazy" is a popular hip-hop single by Young Thug, known for its catchy melody and energetic production.
-
B.
You're Crazy
"You're Crazy" is a hard rock song by Guns N' Roses from their landmark 1987 debut album *Appetite for Destruction*.
-
C.
C.R.A.Z.Y.
C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
-
D.
The Crazy Ones
The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
-
E.
Bad and Crazy
Bad and Crazy is a South Korean action-fantasy drama series that blends crime investigation with dark humor and a split-personality vigilante hero.
- 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: Go Crazy Triple: [Jeezy, notableWork, Go Crazy]
Generated description
"Go Crazy" is a popular hip-hop single by Jeezy featuring Jay-Z, known for its soulful production and influential role in mid-2000s Southern rap.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go Crazy Target entity description: "Go Crazy" is a popular hip-hop single by Jeezy featuring Jay-Z, known for its soulful production and influential role in mid-2000s Southern rap.
-
A.
Go Crazy
"Go Crazy" is a popular hip-hop single by Young Thug, known for its catchy melody and energetic production.
-
B.
You're Crazy
"You're Crazy" is a hard rock song by Guns N' Roses from their landmark 1987 debut album *Appetite for Destruction*.
-
C.
C.R.A.Z.Y.
C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
-
D.
The Crazy Ones
The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
-
E.
Bad and Crazy
Bad and Crazy is a South Korean action-fantasy drama series that blends crime investigation with dark humor and a split-personality vigilante hero.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0791208190b043332247372d7b |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
| NEDg | Description generation | batch_69cf2bd32cc881909ac8a61befa9929e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c69f83481909423858668d03a8b |
completed | April 3, 2026, 2:56 a.m. |
Created at: March 30, 2026, 6:36 p.m.