Triple
T19560341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Penick |
E489431
|
entity |
| Predicate | hasPerformanceSkill |
P87264
|
FINISHED |
| Object | dance |
—
|
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: dance | Statement: [Trevor Penick, hasPerformanceSkill, dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformanceSkill Context triple: [Trevor Penick, hasPerformanceSkill, dance]
-
A.
hasEponymousSkill
Indicates that an entity possesses a skill that is named after a particular person or entity.
-
B.
skillType
Indicates the specific category or kind of skill that characterizes or classifies an associated skill-related entity or action.
-
C.
skilledIn
chosen
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
D.
hasSkillTree
Indicates that an entity is associated with a structured progression of skills or abilities, typically organized in a branching or hierarchical form.
-
E.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.