Triple
T33770016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy Willie |
E865352
|
entity |
| Predicate | wantsToSell |
P177672
|
FINISHED |
| Object | family piano |
—
|
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: family piano | Statement: [Boy Willie, wantsToSell, family piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wantsToSell Context triple: [Boy Willie, wantsToSell, family piano]
-
A.
designedToSell
Indicates that something was intentionally created or configured for the purpose of being sold.
-
B.
subjectOfSale
Indicates that one entity is the item, asset, or right being transferred or offered in a sale transaction involving another entity.
-
C.
wasOfferedForSale
Indicates that an entity was made available to potential buyers in exchange for payment.
-
D.
sellsInformationTo
Indicates that one entity provides information to another entity in exchange for payment or other compensation.
-
E.
soldWorkTo
Indicates that one entity transferred ownership of a work (such as a product, artwork, or creation) to another entity in exchange for payment.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:45 a.m.