Triple
T35543730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Have You Got to Offer Me |
E1027141
|
entity |
| Predicate | musicalArtistEra |
P22765
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [What Have You Got to Offer Me, musicalArtistEra, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalArtistEra Context triple: [What Have You Got to Offer Me, musicalArtistEra, 1960s]
-
A.
musicalArtistDebutEra
Indicates the time period or era during which a musical artist first debuted or began their professional career.
-
B.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
C.
associatedWithArtistEra
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
-
D.
recordingArtistDebutEra
Indicates the time period or era during which an artist first debuted as a recording artist.
-
E.
recordingEra
chosen
Indicates the historical time period or era during which the recording was made.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:04 p.m.