Triple
T6329310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squire Trelawney |
E141937
|
entity |
| Predicate | makesMistakeOf |
P1940
|
FINISHED |
| Object | trusting Long John Silver and his associates |
—
|
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: trusting Long John Silver and his associates | Statement: [Squire Trelawney, makesMistakeOf, trusting Long John Silver and his associates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: makesMistakeOf Context triple: [Squire Trelawney, makesMistakeOf, trusting Long John Silver and his associates]
-
A.
notableGaffe
Indicates that an entity is known for having made a significant mistake, blunder, or embarrassing error.
-
B.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
C.
notableMisconception
Indicates that a commonly held but incorrect belief or understanding exists about the subject.
-
D.
fault
chosen
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
E.
laterMistranslatedAs
Indicates that an earlier expression, text, or term was subsequently rendered incorrectly in another language or version, resulting in a mistranslation.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651197908190a30e504e2442d40f |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.