Triple
T23615699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago house |
E583166
|
entity |
| Predicate | genreOriginPeriod |
P63840
|
FINISHED |
| Object | early 1980s |
—
|
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: early 1980s | Statement: [Chicago house, genreOriginPeriod, early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOriginPeriod Context triple: [Chicago house, genreOriginPeriod, early 1980s]
-
A.
hasGenreOrigin
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
B.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
C.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
D.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
E.
popularityType
Indicates the specific category or nature of how popularity is characterized or measured in the relationship.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b174f6d881908416631229598fbb |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.