Triple
T17460907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Money |
E425148
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
E-Trou
E-Trou is a music producer and songwriter best known for his work as part of the hip-hop and trap-focused producer collective Internet Money.
|
E1270149
|
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: E-Trou | Statement: [Internet Money, hasMember, E-Trou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-Trou Context triple: [Internet Money, hasMember, E-Trou]
-
A.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
B.
Trooz
Trooz is a municipality in the province of Liège in Wallonia, Belgium, known for its location along the Vesdre River and its industrial heritage.
-
C.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
D.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
E.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
- 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: E-Trou Triple: [Internet Money, hasMember, E-Trou]
Generated description
E-Trou is a music producer and songwriter best known for his work as part of the hip-hop and trap-focused producer collective Internet Money.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-Trou Target entity description: E-Trou is a music producer and songwriter best known for his work as part of the hip-hop and trap-focused producer collective Internet Money.
-
A.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
B.
Trooz
Trooz is a municipality in the province of Liège in Wallonia, Belgium, known for its location along the Vesdre River and its industrial heritage.
-
C.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
D.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
E.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b82206d08190939e1d5f8d31ec6f |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8c906ec8190ae9e56b3bdb97fe4 |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9343028819082933b51bb092b3d |
completed | May 11, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:47 a.m.