Triple
T25281457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want You to Want Me |
E633834
|
entity |
| Predicate | notableLiveVersionReleaseYear |
P186940
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [I Want You to Want Me, notableLiveVersionReleaseYear, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLiveVersionReleaseYear Context triple: [I Want You to Want Me, notableLiveVersionReleaseYear, 1979]
-
A.
notableLiveVersion
Indicates that one work is a particularly significant or well-known live performance version of another work.
-
B.
notableCoverReleaseYear
Indicates the year in which a particularly notable or significant cover version of a work was released.
-
C.
notableEditionYear
Indicates the year in which a particular edition of something (such as a work, product, or publication) is considered notable or significant.
-
D.
notableLiveVersionCountry
Indicates that a notable live version of something (such as a work or performance) is specifically associated with a given country.
-
E.
notableAlbumReleaseYear
Indicates the year in which a notable album associated with the subject was released.
- F. None of above. chosen
Provenance (4 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: April 21, 2026, 1:19 p.m.