Triple
T38228663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Away in a Manger |
E1012222
|
entity |
| Predicate | Cradle Song |
P190185
|
FINISHED |
| Object | is a common British tune for the carol |
—
|
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: is a common British tune for the carol | Statement: [Away in a Manger, Cradle Song, is a common British tune for the carol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Cradle Song Context triple: [Away in a Manger, Cradle Song, is a common British tune for the carol]
-
A.
البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
B.
Little Dreamer
Indicates that an entity engages in small-scale or modest dreaming, aspiring, or imaginative thinking.
-
C.
Light a Candle
Indicates performing the action of igniting a candle so that its wick produces light.
-
D.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
E.
Towheads
Indicates a relationship where entities are characterized by having very light blond hair.
- F. None of above. chosen
Provenance (4 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.