Triple
T3090665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Ferlinghetti |
E64472
|
entity |
| Predicate | numberOfCopiesSoldOfAConyIslandOfTheMind |
P44135
|
FINISHED |
| Object | over 1,000,000 |
—
|
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: over 1,000,000 | Statement: [Lawrence Ferlinghetti, numberOfCopiesSoldOfAConyIslandOfTheMind, over 1,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCopiesSoldOfAConyIslandOfTheMind Context triple: [Lawrence Ferlinghetti, numberOfCopiesSoldOfAConyIslandOfTheMind, over 1,000,000]
-
A.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
B.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
C.
hasAlbumSales
Indicates that an entity (typically an album or artist) is associated with a specific quantity or record of album sales.
-
D.
numberOfMandalas
Indicates the quantity or count of mandalas associated with a given entity.
-
E.
numberOfMysteries
Indicates the quantity or count of mysteries associated with a given 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.