Triple
T5227577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Time We Say Goodbye |
E118028
|
entity |
| Predicate | isFrequentlyPerformedBy |
P62471
|
FINISHED |
| Object | jazz vocalists |
—
|
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: jazz vocalists | Statement: [Every Time We Say Goodbye, isFrequentlyPerformedBy, jazz vocalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyPerformedBy Context triple: [Every Time We Say Goodbye, isFrequentlyPerformedBy, jazz vocalists]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
frequentlyPerformedAt
Indicates that an action or event occurs regularly or with high frequency at a particular location or context.
-
C.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
D.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
E.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:48 p.m.