Triple
T14915205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WXRK (New York) |
E371363
|
entity |
| Predicate | peakPopularityPeriodOfTheHowardSternShow |
P2927
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [WXRK (New York), peakPopularityPeriodOfTheHowardSternShow, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPopularityPeriodOfTheHowardSternShow Context triple: [WXRK (New York), peakPopularityPeriodOfTheHowardSternShow, 1990s]
-
A.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
B.
peakedWithinTopTenOn
Indicates that something (such as a work, product, or performance) reached a highest ranking position within the top ten on a specified chart, list, or ranking system.
-
C.
peakPopularity
chosen
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
D.
contributedToPopularityInDecade
Indicates that something played a role in increasing the popularity of another thing during a specific decade.
-
E.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
- 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.