Triple
T28710281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph the Red-Nosed Reindeer |
E729811
|
entity |
| Predicate | firstChartSuccess |
P100044
|
FINISHED |
| Object | late 1940s |
—
|
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: late 1940s | Statement: [Rudolph the Red-Nosed Reindeer, firstChartSuccess, late 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChartSuccess Context triple: [Rudolph the Red-Nosed Reindeer, firstChartSuccess, late 1940s]
-
A.
hasChartSuccessWith
Indicates that an entity has achieved measurable success on music or performance charts in connection with another specified entity.
-
B.
chartSuccessWith
Indicates a relationship where one entity measures, tracks, or visualizes the success or performance of another entity using charts or similar representations.
-
C.
firstChartEntryDate
chosen
Indicates the date on which an entity first appeared or was recorded on a particular chart or ranking.
-
D.
firstMajorSuccess
Indicates that an entity represents the earliest significant achievement or breakthrough in another entity’s career, activity, or development.
-
E.
hasChartSuccessPeriod
Indicates the time span during which something achieved notable success on a chart or ranking system.
- 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_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
Created at: April 28, 2026, 5:47 a.m.