Triple
T32792991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiet Night Thought |
E838679
|
entity |
| Predicate | secondLineMeaning |
P105379
|
FINISHED |
| Object | I suspect it is frost on the ground |
—
|
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 suspect it is frost on the ground | Statement: [Quiet Night Thought, secondLineMeaning, I suspect it is frost on the ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLineMeaning Context triple: [Quiet Night Thought, secondLineMeaning, I suspect it is frost on the ground]
-
A.
secondPartMeaning
Indicates that something represents the latter or subsequent portion of a larger whole in terms of its meaning or semantic content.
-
B.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
C.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
-
D.
secondaryLine
Indicates that something serves as a secondary or auxiliary line in relation to a primary or main line.
-
E.
S2Meaning
chosen
Indicates a semantic relationship where one entity conveys, expresses, or represents the meaning or sense of another entity.
- 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_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 1, 2026, 1:14 a.m.