Triple
T13695251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wendy Williams Show |
E328366
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object | Hot Topics |
E302619
|
NE 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: Hot Topics | Statement: [The Wendy Williams Show, hasSegment, Hot Topics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Topics Context triple: [The Wendy Williams Show, hasSegment, Hot Topics]
-
A.
Hot Topics
chosen
Hot Topics is the opening discussion segment on the daytime talk show "The View," where the co-hosts debate and comment on current events and trending issues.
-
B.
Hot Topic
"Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
-
C.
Topics
Topics is a logical treatise by Aristotle that systematically examines the art of dialectical reasoning and argumentation, especially through the use of topoi (commonplaces) in debate.
-
D.
Popular Problems
Popular Problems is a studio album by Canadian singer-songwriter Leonard Cohen, known for its sparse arrangements and meditative, poetic reflections on aging, love, and mortality.
-
E.
TRND
TRND is a National Institutes of Health program that accelerates the development of treatments for rare and neglected diseases by bridging the gap between basic research and clinical application.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.