Triple
T26146822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenesi |
E659692
|
entity |
| Predicate | firstPopularRecordingYear |
P195486
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Frenesi, firstPopularRecordingYear, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPopularRecordingYear Context triple: [Frenesi, firstPopularRecordingYear, 1940]
-
A.
bestKnownRecordingYear
Indicates the year in which the most notable or widely recognized recording of something was made or released.
-
B.
firstMajorHitYear
Indicates the year in which an entity (typically an artist, creator, or performer) achieved its first major hit or breakthrough success.
-
C.
firstAlbumReleaseYear
Indicates the calendar year in which an entity’s first music album was released.
-
D.
firstCompleteStudioRecordingYear
Indicates the year in which an entity’s first complete studio recording was made.
-
E.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 26, 2026, 8:23 p.m.