Triple
T31945381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepherds’ Farewell |
E815635
|
entity |
| Predicate | isPopularExcerptFrom |
P141992
|
FINISHED |
| Object | L’Enfance du Christ |
—
|
NE NERFINISHED |
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: L’Enfance du Christ | Statement: [Shepherds’ Farewell, isPopularExcerptFrom, L’Enfance du Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularExcerptFrom Context triple: [Shepherds’ Farewell, isPopularExcerptFrom, L’Enfance du Christ]
-
A.
isFamousExcerptOf
Indicates that one text passage is a well-known or widely recognized excerpt taken from a larger work.
-
B.
popularExcerpt
chosen
Indicates that a given excerpt is widely liked, frequently referenced, or otherwise considered popular among users or audiences.
-
C.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
D.
isWidelyReadBy
Indicates that a work (such as a book, article, or text) is read by a large and diverse number of people.
-
E.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b27930d881909d5bef056bf5e7e5 |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:06 a.m.