Triple
T19560344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Penick |
E489431
|
entity |
| Predicate | hasNotableGenrePeriod |
P63840
|
FINISHED |
| Object | early 2000s pop |
—
|
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 2000s pop | Statement: [Trevor Penick, hasNotableGenrePeriod, early 2000s pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGenrePeriod Context triple: [Trevor Penick, hasNotableGenrePeriod, early 2000s pop]
-
A.
hasNotableGenre
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
B.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
C.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
D.
hasNotableGenreContext
Indicates that an entity’s genre is significant or noteworthy in understanding its context, interpretation, or impact.
-
E.
hasNotableRecordingPeriod
Indicates that an entity is associated with a specific time span during which notable recording activity took place.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.