Triple
T5348052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take the "A" Train |
E124103
|
entity |
| Predicate | notableRecordingEra |
P22765
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Take the "A" Train, notableRecordingEra, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecordingEra Context triple: [Take the "A" Train, notableRecordingEra, 1940s]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
recordingEra
chosen
Indicates the historical time period or era during which the recording was made.
-
C.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
D.
notableEraStart
Indicates the point in time when a notable or historically significant era associated with an entity begins.
-
E.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ef75148190815461c2a49302e9 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.