Triple
T28710226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lewis May |
E729809
|
entity |
| Predicate | RudolphAssociatedHoliday |
P130714
|
FINISHED |
| Object | Christmas |
—
|
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: Christmas | Statement: [Robert Lewis May, RudolphAssociatedHoliday, Christmas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RudolphAssociatedHoliday Context triple: [Robert Lewis May, RudolphAssociatedHoliday, Christmas]
-
A.
hasReindeerHerding
Indicates that one entity engages in or possesses the activity, practice, or operation of herding reindeer in relation to another entity.
-
B.
hasChristmasSetting
chosen
Indicates that an event, scene, or work takes place during or is thematically set around the Christmas holiday period.
-
C.
holidayRole
Indicates the specific function, duty, or part an entity plays in relation to a holiday or holiday-related event.
-
D.
leadsSleigh
Indicates that one entity guides and directs the movement of a sleigh, typically traveling at its front and controlling its course.
-
E.
holiestNightIn
Indicates that a particular night is considered the most sacred or religiously significant within a given place, context, or tradition.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 5:47 a.m.