Triple
T824979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby, Don’t Take Your Love to Town |
E17833
|
entity |
| Predicate | notableReleaseYear |
P13838
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Ruby, Don’t Take Your Love to Town, notableReleaseYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableReleaseYear Context triple: [Ruby, Don’t Take Your Love to Town, notableReleaseYear, 1969]
-
A.
notableRelease
Indicates that an entity is a significant or prominent release (such as a major version, edition, or launch) associated with another entity.
-
B.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
C.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
-
D.
notableBearerBirthYear
Indicates the year in which a notable bearer of the referenced name, title, or identifier was born.
-
E.
singleReleaseYear
chosen
Indicates the year in which a particular single (song) was officially released.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7eb0a08190889463edb0e7bd59 |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa781e1081909df006f730296c53 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.