Triple
T17907775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toiletnator |
E447744
|
entity |
| Predicate | oftenFailsAt |
P91900
|
FINISHED |
| Object | executing evil plans |
—
|
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: executing evil plans | Statement: [Toiletnator, oftenFailsAt, executing evil plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenFailsAt Context triple: [Toiletnator, oftenFailsAt, executing evil plans]
-
A.
failsTo
Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
-
B.
failsAtFirst
Indicates that an attempt at an action or task does not succeed on the first try.
-
C.
failsInGeneralFor
chosen
Indicates that an action, method, or approach does not succeed under typical or broad conditions, rather than only in specific edge cases.
-
D.
oftenSucceeded
Indicates that one entity frequently or repeatedly follows another in a sequence of successes or outcomes.
-
E.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9d458881909e35e1c7a6e85436 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.