Triple
T26853250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moors (fictional kingdom) |
E676113
|
entity |
| Predicate | basedLooselyOn |
P7125
|
FINISHED |
| Object | fairy realm concept from Sleeping Beauty |
—
|
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: fairy realm concept from Sleeping Beauty | Statement: [Moors (fictional kingdom), basedLooselyOn, fairy realm concept from Sleeping Beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedLooselyOn Context triple: [Moors (fictional kingdom), basedLooselyOn, fairy realm concept from Sleeping Beauty]
-
A.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
B.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
C.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
-
D.
basedOnWord
Indicates that one element is derived from, formed from, or directly influenced by a particular word.
-
E.
basedOnValues
Indicates that something is determined, derived, or decided according to specified values or value-based criteria.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 5:19 a.m.