Triple
T5140840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embraceable You |
E115945
|
entity |
| Predicate | hasNotableRecordingDecade |
P22765
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Embraceable You, hasNotableRecordingDecade, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableRecordingDecade Context triple: [Embraceable You, hasNotableRecordingDecade, 1930s]
-
A.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
B.
hasNotableRecordingBy
Indicates that an entity (such as a work or composition) has a well-known or significant recording created or performed by a specified agent (such as an artist, ensemble, or label).
-
C.
completedInDecade
Indicates that an action, event, or process was finished within a specified ten-year time period.
-
D.
recordingEra
chosen
Indicates the historical time period or era during which the recording was made.
-
E.
airedInDecade
Indicates that an event, show, or broadcast took place or was first aired during a specified decade.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.