Triple
T20118926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotta Travel On [live] |
E490544
|
entity |
| Predicate | originalSongReleaseDecade |
P121084
|
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: [Gotta Travel On [live], originalSongReleaseDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSongReleaseDecade Context triple: [Gotta Travel On [live], originalSongReleaseDecade, 1950s]
-
A.
hasOriginalSongReleaseDecade
chosen
Indicates the decade during which the original version of a song was first released.
-
B.
decadeRecognition
Indicates that an entity is formally recognized, honored, or notable during a specific decade.
-
C.
lyricsWrittenInDecade
Indicates that the lyrics of a work were written during a specific decade.
-
D.
releasedInDecade
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
E.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:30 p.m.