Triple
T31863019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Magpies |
E813380
|
entity |
| Predicate | hasMusicProject |
P91530
|
FINISHED |
| Object |
The Fireman
The Fireman is an experimental music project best known for blending psychedelic rock and ambient electronic sounds in a series of collaborative albums.
|
E43835
|
NE FINISHED |
How this triple was built (3 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: The Fireman | Statement: [Two Magpies, hasMusicProject, The Fireman]
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: The Fireman Triple: [Two Magpies, hasMusicProject, The Fireman]
Generated description
The Fireman is an experimental music project best known for blending psychedelic rock and ambient electronic sounds in a series of collaborative albums.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicProject Context triple: [Two Magpies, hasMusicProject, The Fireman]
-
A.
hasMusicForReleases
Indicates that there is associated music content linked to specific releases (such as albums, editions, or versions).
-
B.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
C.
musicalProject
chosen
Indicates that an entity is a musical endeavor or body of work, such as a band, solo act, or organized music-making project, associated with another entity.
-
D.
hasMusicProgram
Indicates that an entity offers or is associated with an organized music-related program or curriculum.
-
E.
hasMusicCollection
Indicates that one entity possesses or maintains a collection of music items associated with it.
- F. None of above.
Provenance (6 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a347b61fb448190a23ab0cd418bf7b2 |
completed | June 18, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a347cf75eb88190a13b4efd38698b4b |
completed | June 18, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a347e5172008190a0672bfb37c7326c |
completed | June 18, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 30, 2026, 11:53 p.m.