Triple
T27874878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost of Christmas Present |
E704899
|
entity |
| Predicate | torchFunction |
P162207
|
FINISHED |
| Object | spreads Christmas cheer |
—
|
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: spreads Christmas cheer | Statement: [Ghost of Christmas Present, torchFunction, spreads Christmas cheer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torchFunction Context triple: [Ghost of Christmas Present, torchFunction, spreads Christmas cheer]
-
A.
torchType
Indicates the specific kind or category of torch associated with an entity.
-
B.
activationFunction
Indicates the specific mathematical transformation applied to a neuron's input to produce its output in a computational or neural model.
-
C.
toolFunction
chosen
Indicates that one entity serves as a tool used to perform a particular function or achieve a specific purpose for another entity.
-
D.
torchDesign
Indicates that an entity is responsible for creating or specifying the design of a torch.
-
E.
transferFunction
Indicates a relationship where some quantity, property, or information is passed or conveyed from one entity to another.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6397e95908190bae6cfcd65e3fc20 |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:26 p.m.