Triple
T23002165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lords of Chaos |
E572662
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Hugo Alvarstein
Hugo Alvarstein is a musician and composer known for creating the music for the film "Lords of Chaos."
|
E1566327
|
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: Hugo Alvarstein | Statement: [Lords of Chaos, musicBy, Hugo Alvarstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Alvarstein Context triple: [Lords of Chaos, musicBy, Hugo Alvarstein]
-
A.
Gustav Bruhn
Gustav Bruhn was a German-born engineer and inventor best known for founding the Swedish company Autoliv and contributing to the development of automotive safety technologies.
-
B.
Otto Elfeldt
Otto Elfeldt was a German Wehrmacht general during World War II who held several corps-level commands on the Western Front.
-
C.
Wilhelm Hauers
Wilhelm Hauers was a German architect best known for co-designing Hamburg City Hall in the late 19th century.
-
D.
Edgar Kalland
Edgar Kalland was one of the mushers who participated in the 1925 serum run to Nome, helping relay life-saving diphtheria antitoxin across Alaska.
-
E.
Alfred Helle
Alfred Helle was a partner in the law firm Skilling, Helle, Christiansen & Robertson.
- 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: Hugo Alvarstein Triple: [Lords of Chaos, musicBy, Hugo Alvarstein]
Generated description
Hugo Alvarstein is a musician and composer known for creating the music for the film "Lords of Chaos."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugo Alvarstein Target entity description: Hugo Alvarstein is a musician and composer known for creating the music for the film "Lords of Chaos."
-
A.
Gustav Bruhn
Gustav Bruhn was a German-born engineer and inventor best known for founding the Swedish company Autoliv and contributing to the development of automotive safety technologies.
-
B.
Otto Elfeldt
Otto Elfeldt was a German Wehrmacht general during World War II who held several corps-level commands on the Western Front.
-
C.
Wilhelm Hauers
Wilhelm Hauers was a German architect best known for co-designing Hamburg City Hall in the late 19th century.
-
D.
Edgar Kalland
Edgar Kalland was one of the mushers who participated in the 1925 serum run to Nome, helping relay life-saving diphtheria antitoxin across Alaska.
-
E.
Alfred Helle
Alfred Helle was a partner in the law firm Skilling, Helle, Christiansen & Robertson.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a2754c8190bccf743d66db9242 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf44ceb288190a6741635c9ee2e1f |
completed | May 19, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf4a68f8c8190a922ff9d23b57831 |
completed | May 19, 2026, 5:27 a.m. |
Created at: April 17, 2026, 3:50 p.m.