Triple
T14915203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WXRK (New York) |
E371363
|
entity |
| Predicate | airtimeOfTheHowardSternShow |
P112232
|
FINISHED |
| Object | morning drive time |
—
|
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: morning drive time | Statement: [WXRK (New York), airtimeOfTheHowardSternShow, morning drive time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airtimeOfTheHowardSternShow Context triple: [WXRK (New York), airtimeOfTheHowardSternShow, morning drive time]
-
A.
specialEpisodeAirDate
Indicates the calendar date on which a special episode is broadcast or made available to the public.
-
B.
radioSeriesStartTime
chosen
Indicates the time at which a radio series (or a specific episode of it) begins broadcasting.
-
C.
airdateDetail
Indicates the specific broadcast scheduling information for something, such as its original air date, time, or related airing details.
-
D.
showrunnerAtTimeOfAir
Indicates that a person served as the showrunner of a show during the time a particular episode or season was originally aired.
-
E.
numberOfTimesHostedSNL
Indicates how many times an entity has served as the host of the television show Saturday Night Live.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61f1d488190995f847f84d72cdc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:28 a.m.