Triple
T15007979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Vineyard |
E377757
|
entity |
| Predicate | soldDuringLifetimeOfArtist |
P33597
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Red Vineyard, soldDuringLifetimeOfArtist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldDuringLifetimeOfArtist Context triple: [The Red Vineyard, soldDuringLifetimeOfArtist, true]
-
A.
hasAlbumSales
Indicates that an entity (typically an album or artist) is associated with a specific quantity or record of album sales.
-
B.
soldDuring
chosen
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
C.
timeInArtistCareer
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
D.
soldCopies
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
E.
selloutStreakStartYear
Indicates the year in which a continuous streak of sold-out events or performances began.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.