Triple
T12602659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Clark's New Year's Rockin' Eve |
E300895
|
entity |
| Predicate | airingFrequency |
P55256
|
FINISHED |
| Object | once per year |
—
|
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: once per year | Statement: [Dick Clark's New Year's Rockin' Eve, airingFrequency, once per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airingFrequency Context triple: [Dick Clark's New Year's Rockin' Eve, airingFrequency, once per year]
-
A.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
B.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
C.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
D.
serviceFrequencyType
chosen
Indicates how often a service occurs or is scheduled within a given time period.
-
E.
isFrequentlyBroadcastDuring
Indicates that one entity (such as a program, advertisement, or message) is regularly aired or transmitted during another entity (such as a specific time slot, event, or show).
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.