Triple
T21735536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 112 (album) |
E536511
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Arnold Hennings
Arnold Hennings is a music producer best known for his work in R&B and hip hop, including collaborations with prominent artists in the 1990s and 2000s.
|
E1499667
|
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: Arnold Hennings | Statement: [112 (album), producer, Arnold Hennings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Hennings Context triple: [112 (album), producer, Arnold Hennings]
-
A.
Arnold Eidus
Arnold Eidus was an American classical violinist and recording artist known for his virtuosity and work as a soloist and studio musician in the mid-20th century.
-
B.
Hans Dreier
Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
-
C.
Arne Hanna
Arne Hanna is a musician best known as a member of the Australian ambient/world music band Not Drowning, Waving.
-
D.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
E.
George Hansen
George Hansen is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
- 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: Arnold Hennings Triple: [112 (album), producer, Arnold Hennings]
Generated description
Arnold Hennings is a music producer best known for his work in R&B and hip hop, including collaborations with prominent artists in the 1990s and 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnold Hennings Target entity description: Arnold Hennings is a music producer best known for his work in R&B and hip hop, including collaborations with prominent artists in the 1990s and 2000s.
-
A.
Arnold Eidus
Arnold Eidus was an American classical violinist and recording artist known for his virtuosity and work as a soloist and studio musician in the mid-20th century.
-
B.
Hans Dreier
Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
-
C.
Arne Hanna
Arne Hanna is a musician best known as a member of the Australian ambient/world music band Not Drowning, Waving.
-
D.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
E.
George Hansen
George Hansen is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ed25d808190bf6afff41d8812d4 |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2ffaaa708190b43531cbc6448b00 |
completed | May 17, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a307b81288190a8254e32b36ed3f1 |
completed | May 17, 2026, 9:17 p.m. |
Created at: April 16, 2026, 6:48 p.m.