Triple
T20211323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood quill |
E493491
|
entity |
| Predicate | phraseExample |
P132994
|
FINISHED |
| Object | "I must not tell lies" |
—
|
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: "I must not tell lies" | Statement: [Blood quill, phraseExample, "I must not tell lies"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phraseExample Context triple: [Blood quill, phraseExample, "I must not tell lies"]
-
A.
typicalPhrase
chosen
Indicates that the object is a phrase commonly or characteristically used in connection with the subject.
-
B.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
-
C.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
D.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
E.
exampleWord
Indicates that one entity serves as an illustrative or representative instance of another entity or concept.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.