Triple
T32792992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Night Thought |
E838679
|
entity |
| Predicate | thirdLineMeaning |
P103900
|
FINISHED |
| Object | I raise my head to gaze at the bright moon |
—
|
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 raise my head to gaze at the bright moon | Statement: [Quiet Night Thought, thirdLineMeaning, I raise my head to gaze at the bright moon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdLineMeaning Context triple: [Quiet Night Thought, thirdLineMeaning, I raise my head to gaze at the bright moon]
-
A.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
B.
textMeaning
chosen
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
C.
thirdLineInChinese
Indicates that one entity is the third line (or row) in a sequence of lines when written or displayed in Chinese.
-
D.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
E.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:14 a.m.