Triple
T30331334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garota de Ipanema |
E771485
|
entity |
| Predicate | yearOfPopularRelease |
P188787
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Garota de Ipanema, yearOfPopularRelease, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfPopularRelease Context triple: [Garota de Ipanema, yearOfPopularRelease, 1964]
-
A.
fullReleaseYear
Indicates the calendar year in which something is fully released or made publicly available in its complete form.
-
B.
dataReleaseYear
Indicates the year in which the data was officially released or made publicly available.
-
C.
usReleaseYear
Indicates the calendar year in which something was released in the United States.
-
D.
commercialReleaseYear
Indicates the calendar year in which a product, work, or item was first made commercially available to the public.
-
E.
eligibleReleaseYear
Indicates the year in which something qualifies or is permitted to be released according to specified criteria or rules.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: April 29, 2026, 7:53 p.m.