Triple
T7905357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero Boy |
E183561
|
entity |
| Predicate | receivesObject |
P4382
|
FINISHED |
| Object | a silver sleigh bell from Santa's sleigh |
—
|
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: a silver sleigh bell from Santa's sleigh | Statement: [Hero Boy, receivesObject, a silver sleigh bell from Santa's sleigh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesObject Context triple: [Hero Boy, receivesObject, a silver sleigh bell from Santa's sleigh]
-
A.
receives
chosen
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
B.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
C.
receiverAction
Indicates that the receiver of something performs or is associated with a specific action in the context of that transfer or interaction.
-
D.
receivingState
Indicates that one entity serves as the recipient or destination of something (such as an object, message, or person) from another entity.
-
E.
hasObject
Indicates that an entity is associated with or possesses a particular object as part of a relationship or action.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:03 p.m.