Triple
T34074076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nutbush line dance |
E873855
|
entity |
| Predicate | hasLearningDifficulty |
P195415
|
FINISHED |
| Object | easy to learn |
—
|
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: easy to learn | Statement: [Nutbush line dance, hasLearningDifficulty, easy to learn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLearningDifficulty Context triple: [Nutbush line dance, hasLearningDifficulty, easy to learn]
-
A.
hasDifficultyWith
Indicates that one entity experiences problems, challenges, or lack of proficiency in dealing with, understanding, or performing something related to another entity.
-
B.
hasDyslexia
Indicates that an entity experiences dyslexia, a learning difficulty affecting reading, writing, or spelling abilities.
-
C.
hasLiteracyConcern
Indicates that an entity has an identified issue, risk, or challenge related to literacy skills or abilities.
-
D.
hasDifficultyContext
Indicates that something’s difficulty is defined, interpreted, or constrained within a particular situational or contextual framework.
-
E.
hasHumanDevelopmentChallenges
Indicates that an entity experiences or is associated with significant obstacles or difficulties related to human development, such as health, education, or living standards.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: May 1, 2026, 1:52 a.m.