Triple
T33519061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flick |
E858450
|
entity |
| Predicate | hasEffortQuality |
P93837
|
FINISHED |
| Object | quick |
—
|
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: quick | Statement: [Flick, hasEffortQuality, quick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEffortQuality Context triple: [Flick, hasEffortQuality, quick]
-
A.
hasPlanningEffort
Indicates that an entity is associated with a required or invested amount of planning work or preparation effort.
-
B.
dimensionOfEffort
chosen
Indicates a specific measurable aspect or component that characterizes the nature or extent of an effort.
-
C.
workQuality
Indicates the level or standard of how well an entity performs its work or fulfills its tasks.
-
D.
hasProtectionEffort
Indicates that an entity undertakes or is subject to actions or measures aimed at protecting or conserving another entity.
-
E.
hasStandardizationEffort
Indicates that there is an organized effort or process to standardize something, such as practices, formats, or specifications, across relevant entities or contexts.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.