Triple
T4452734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodnight Irene |
E97650
|
entity |
| Predicate | becameStandardIn |
P56602
|
FINISHED |
| Object | mid-20th-century folk revival |
—
|
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: mid-20th-century folk revival | Statement: [Goodnight Irene, becameStandardIn, mid-20th-century folk revival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameStandardIn Context triple: [Goodnight Irene, becameStandardIn, mid-20th-century folk revival]
-
A.
becameStandardFor
Indicates that something was adopted and established as the usual or accepted norm for a particular purpose, context, or group.
-
B.
isStandardIn
Indicates that something conforms to or is officially recognized as the accepted standard within a particular context or system.
-
C.
standardizedIn
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
-
D.
firstStandardApproved
Indicates that an entity is the earliest or initial standard that has received formal approval.
-
E.
firstStandardized
Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f49dc081908727af81b886c08d |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.