Triple
T14373724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition John Lennon |
E356418
|
entity |
| Predicate | hasEngraving |
P48945
|
FINISHED |
| Object | musical references |
—
|
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: musical references | Statement: [Great Characters Edition John Lennon, hasEngraving, musical references]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngraving Context triple: [Great Characters Edition John Lennon, hasEngraving, musical references]
-
A.
hasEngravableArea
Indicates that an object possesses a surface or region suitable for being engraved.
-
B.
hasCarvings
chosen
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
-
C.
hasWinnerEngraved
Indicates that the winner of a competition, event, or award is permanently recorded or inscribed on an associated object or medium.
-
D.
hasCarving
Indicates that one entity features or contains a carved design, inscription, or sculpted detail that is associated with or applied to another entity.
-
E.
hadImprint
Indicates that one entity bears or once bore a physical or symbolic mark, stamp, or impression produced by another entity.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.