Triple
T523790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Mind Control |
E10873
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sex 4 Suga
Sex 4 Suga is a track featured on Common's album "Universal Mind Control."
|
E65402
|
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: Sex 4 Suga | Statement: [Universal Mind Control, hasPart, Sex 4 Suga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sex 4 Suga Context triple: [Universal Mind Control, hasPart, Sex 4 Suga]
-
A.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
B.
Secretly
"Secretly" is a popular country song recorded by American singer Jimmie Rodgers that became one of his best-known hits.
-
C.
Juicy
"Juicy" is a landmark 1994 hip-hop single by The Notorious B.I.G. that chronicles his rise from poverty to rap stardom and is widely regarded as one of the greatest rap songs of all time.
-
D.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
-
E.
Sugar Babies
Sugar Babies is a popular Broadway musical revue that nostalgically celebrates burlesque-style song, dance, and comedy.
- 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: Sex 4 Suga Triple: [Universal Mind Control, hasPart, Sex 4 Suga]
Generated description
Sex 4 Suga is a track featured on Common's album "Universal Mind Control."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sex 4 Suga Target entity description: Sex 4 Suga is a track featured on Common's album "Universal Mind Control."
-
A.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
B.
Secretly
"Secretly" is a popular country song recorded by American singer Jimmie Rodgers that became one of his best-known hits.
-
C.
Juicy
"Juicy" is a landmark 1994 hip-hop single by The Notorious B.I.G. that chronicles his rise from poverty to rap stardom and is widely regarded as one of the greatest rap songs of all time.
-
D.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
-
E.
Sugar Babies
Sugar Babies is a popular Broadway musical revue that nostalgically celebrates burlesque-style song, dance, and comedy.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab20f5288190aca34aacde60604b |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4abcb4b0c8190b7fdad2d46b97a06 |
completed | March 1, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ada4ca5481909bbd62b55f10f4f9 |
completed | March 1, 2026, 9:20 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.