Triple
T20425838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy (Waiting for Godot) |
E500997
|
entity |
| Predicate | knowledgeLevel |
P134757
|
FINISHED |
| Object | limited understanding of Godot |
—
|
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: limited understanding of Godot | Statement: [Boy (Waiting for Godot), knowledgeLevel, limited understanding of Godot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeLevel Context triple: [Boy (Waiting for Godot), knowledgeLevel, limited understanding of Godot]
-
A.
knowledgeLevelAssessed
Indicates that an entity’s level of knowledge or understanding has been evaluated or measured, typically against some criteria or standard.
-
B.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
C.
knowledgeScope
chosen
Indicates the extent or range of information, topics, or understanding that an entity possesses or is concerned with.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.