Triple
T27619019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twelve Days of Christmas |
E700517
|
entity |
| Predicate | twelfthDayGift |
P59647
|
FINISHED |
| Object | twelve drummers drumming |
—
|
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: twelve drummers drumming | Statement: [The Twelve Days of Christmas, twelfthDayGift, twelve drummers drumming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twelfthDayGift Context triple: [The Twelve Days of Christmas, twelfthDayGift, twelve drummers drumming]
-
A.
twelfthBook
Indicates that one entity is the twelfth book in a sequence or ordered collection associated with another entity.
-
B.
twelfthMonth
Indicates that one entity is the twelfth month in a specified calendar or temporal sequence in relation to another entity.
-
C.
twelfthStation
Indicates the relationship of being the twelfth station or step in a sequential series, often within a structured ritual or ordered set of events.
-
D.
typeOfGift
chosen
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
-
E.
giftBrought
Indicates that one entity brought or presented a gift to 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f630dafea481909f5f59c5ed3269ee |
completed | May 2, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:13 p.m.