Triple
T14535900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scared Shrekless |
E341041
|
entity |
| Predicate | featuresStoryDevice |
P80690
|
FINISHED |
| Object | anthology of spooky tales |
—
|
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: anthology of spooky tales | Statement: [Scared Shrekless, featuresStoryDevice, anthology of spooky tales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStoryDevice Context triple: [Scared Shrekless, featuresStoryDevice, anthology of spooky tales]
-
A.
featuresDevice
Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
-
B.
characteristicDevice
Indicates that a device is a defining or typical instrument, tool, or equipment associated with a particular entity, context, or activity.
-
C.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
-
D.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
featuresService
Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.