Triple
T31301682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Did Something Bad |
E798228
|
entity |
| Predicate | hasSynthProduction |
P171547
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [I Did Something Bad, hasSynthProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSynthProduction Context triple: [I Did Something Bad, hasSynthProduction, true]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
hasSoulfulProduction
Indicates that something (typically a piece of music) features production characterized by emotional depth, warmth, and stylistic elements associated with soul music.
-
C.
hasMelodicProduction
Indicates that one entity (typically a musical work or track) features a production style characterized by prominent, structured melodies.
-
D.
hasBassHeavyProduction
Indicates that the music’s production emphasizes low-frequency sounds, giving it a strong, prominent bass presence.
-
E.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
- F. None of above. chosen
Provenance (4 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:14 p.m.