Triple
T5570137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Dawg Entertainment |
E146177
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
TDE
TDE is a prominent American independent record label known for artists like Kendrick Lamar, SZA, and ScHoolboy Q.
|
E530291
|
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: TDE | Statement: [Top Dawg Entertainment, alsoKnownAs, TDE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDE Context triple: [Top Dawg Entertainment, alsoKnownAs, TDE]
-
A.
DDE
DDE is the commonly used abbreviation for Dundee East, a parliamentary constituency in Scotland.
-
B.
TDS
TDS is a demanding mountain ultramarathon held as part of the Ultra-Trail du Mont-Blanc event, known for its technical terrain and significant elevation gain around the Mont Blanc region.
-
C.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
D.
TAD
TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
-
E.
TAD
TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
- 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: TDE Triple: [Top Dawg Entertainment, alsoKnownAs, TDE]
Generated description
TDE is a prominent American independent record label known for artists like Kendrick Lamar, SZA, and ScHoolboy Q.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TDE Target entity description: TDE is a prominent American independent record label known for artists like Kendrick Lamar, SZA, and ScHoolboy Q.
-
A.
DDE
DDE is the commonly used abbreviation for Dundee East, a parliamentary constituency in Scotland.
-
B.
TDS
TDS is a demanding mountain ultramarathon held as part of the Ultra-Trail du Mont-Blanc event, known for its technical terrain and significant elevation gain around the Mont Blanc region.
-
C.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
D.
TAD
TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
-
E.
TAD
TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0204f0d288190b9d4884665ba9116 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284bb71881908c0ac4ea2a302327 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c040a395488190bea2fd651c3aeef7 |
completed | March 22, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04141ea408190aba1463d56ad6b7d |
completed | March 22, 2026, 7:21 p.m. |
Created at: March 22, 2026, 3:37 p.m.