Triple
T23594099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Night |
E582565
|
entity |
| Predicate | hasFirstLineEnglish |
P67696
|
FINISHED |
| Object | Silent night, holy night |
—
|
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: Silent night, holy night | Statement: [Silent Night, hasFirstLineEnglish, Silent night, holy night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstLineEnglish Context triple: [Silent Night, hasFirstLineEnglish, Silent night, holy night]
-
A.
hasEnglishIncipit
chosen
Indicates that an entity has an opening phrase or initial text (incipit) expressed in English.
-
B.
hasPrimaryLanguage1
Indicates that an entity’s main or most commonly used language is the specified language.
-
C.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
D.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08d63dc81908c092a87cf61f2b9 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.