Triple
T12815785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothing’s Gonna Change My Love for You (Glenn Medeiros recording) |
E306396
|
entity |
| Predicate | notableInDecade |
P89584
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Nothing’s Gonna Change My Love for You (Glenn Medeiros recording), notableInDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInDecade Context triple: [Nothing’s Gonna Change My Love for You (Glenn Medeiros recording), notableInDecade, 1980s]
-
A.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
B.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
C.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
D.
hasNotableHitDecade
chosen
Indicates the decade during which an entity achieved a particularly notable or significant hit (e.g., a major success or breakthrough).
-
E.
sonNotableFor
Indicates that a son is recognized or distinguished for a particular achievement, role, or characteristic.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9beb30819097c256a5aab9a4c8 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.