Triple
T12668100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unchained Melody |
E302607
|
entity |
| Predicate | hasNotableDecadeOfPopularity |
P105129
|
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: [Unchained Melody, hasNotableDecadeOfPopularity, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableDecadeOfPopularity Context triple: [Unchained Melody, hasNotableDecadeOfPopularity, 1950s]
-
A.
hasNotableHitDecade
Indicates the decade during which an entity achieved a particularly notable or significant hit (e.g., a major success or breakthrough).
-
B.
notablePopularityPeriod
chosen
Indicates the time span during which something was especially popular or widely recognized.
-
C.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
D.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
E.
hasEnduringPopCulturePresence
Indicates that the subject continues to appear in, influence, or be referenced within popular culture over an extended period of time.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.