Triple
T3216408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "The Alcoa Hour" |
E67405
|
entity |
| Predicate | decadeOfComposition |
P7068
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Theme from "The Alcoa Hour", decadeOfComposition, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeOfComposition Context triple: [Theme from "The Alcoa Hour", decadeOfComposition, 1950s]
-
A.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
B.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
C.
decadeContext
Indicates that the relationship or fact is specifically situated within, or pertains to, a particular decade as its temporal context.
-
D.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
E.
probableCenturyOfComposition
Indicates the century in which something (typically a work or composition) was most likely created or written.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab096b588190b22e41a76263ae92 |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.