Triple
T52833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Lifted |
E1037
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
GOOD Music
GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
|
E5585
|
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: GOOD Music | Statement: [Get Lifted, recordLabel, GOOD Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOOD Music Context triple: [Get Lifted, recordLabel, GOOD Music]
-
A.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
B.
Metro
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
D.
The Voice
The Voice is the nickname given to Whitney Houston in recognition of her extraordinary vocal talent, power, and technical mastery.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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: GOOD Music Triple: [Get Lifted, recordLabel, GOOD Music]
Generated description
GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GOOD Music Target entity description: GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
-
A.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
B.
Metro
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
D.
The Voice
The Voice is the nickname given to Whitney Houston in recognition of her extraordinary vocal talent, power, and technical mastery.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b04ef708190876686da9db1f04d |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255398bac81909c4ae9bba79f6c19 |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a2570e30d88190b7a0d20cf3a94760 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a257a1f340819091d3aa5a665ce50b |
completed | Feb. 28, 2026, 2:49 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.