Triple
T30157630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York house music scene |
E766565
|
entity |
| Predicate | grewInDecade |
P36148
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [New York house music scene, grewInDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewInDecade Context triple: [New York house music scene, grewInDecade, 1990s]
-
A.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
B.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
-
C.
establishedInDecade
Indicates that an entity was founded, created, or came into existence during a specific decade.
-
D.
intensifiedInDecade
chosen
Indicates that the intensity, frequency, or impact of something increased during a specified decade.
-
E.
furtherDevelopedInDecade
Indicates that something underwent additional development, advancement, or refinement during a specified decade.
- F. None of above.
Provenance (3 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed8f9e0819090a895b3942a6f0f |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:21 p.m.