Triple
T37455763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destroyer |
E930794
|
entity |
| Predicate | difficultyForBeginners |
P141769
|
FINISHED |
| Object | beginner-friendly |
—
|
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: beginner-friendly | Statement: [Destroyer, difficultyForBeginners, beginner-friendly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyForBeginners Context triple: [Destroyer, difficultyForBeginners, beginner-friendly]
-
A.
isBeginnerFriendly
chosen
Indicates that something is suitable and easy to understand or use for beginners with little or no prior experience.
-
B.
difficulty
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
C.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
-
D.
hasBeginnerFriendlyTraining
Indicates that an entity provides training or instructional resources suitable for beginners or those with little prior experience.
-
E.
consideredLessAdvancedThan
Indicates that one entity is judged or regarded as being at a lower level of development, sophistication, or advancement than another entity.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.