Triple
T21449549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Groovy Kind of Love |
E529170
|
entity |
| Predicate | TheMindbendersVersionReleaseYear |
P144399
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [A Groovy Kind of Love, TheMindbendersVersionReleaseYear, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TheMindbendersVersionReleaseYear Context triple: [A Groovy Kind of Love, TheMindbendersVersionReleaseYear, 1966]
-
A.
dataReleaseYear
Indicates the year in which the data was officially released or made publicly available.
-
B.
EPReleaseYear
Indicates the calendar year in which an EP (extended play recording) was officially released.
-
C.
betaReleaseDate
Indicates the date on which a product or system is first released in its beta version for testing or limited use.
-
D.
usReleaseYear
Indicates the calendar year in which something was released in the United States.
-
E.
dataReleaseDate
Indicates the date on which a particular dataset or piece of data is officially made available or published.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:06 p.m.