Triple
T18615264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Moments |
E455003
|
entity |
| Predicate | hasNotablePopularity |
P38276
|
FINISHED |
| Object | popular 1950s pop song |
—
|
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: popular 1950s pop song | Statement: [Magic Moments, hasNotablePopularity, popular 1950s pop song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePopularity Context triple: [Magic Moments, hasNotablePopularity, popular 1950s pop song]
-
A.
hasNotableReputation
chosen
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
B.
lacksNotabilityAs
Indicates that one entity is considered insufficiently notable or significant to be associated with or classified as the other entity.
-
C.
hasLimitedRecognition
Indicates that the subject is acknowledged or accepted only to a small extent, in restricted contexts, or by a limited audience.
-
D.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
E.
hasNotableNumber
Indicates that an entity is associated with a specific number that is considered significant, distinctive, or noteworthy in some context.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d04bdc48190b0213132923a7580 |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.