Triple
T152111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People |
E3453
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | People.com |
E3453
|
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: People.com | Statement: [People, hasEdition, People.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: People.com Context triple: [People, hasEdition, People.com]
-
A.
People
chosen
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
-
B.
Oprah Winfrey
Oprah Winfrey is an American talk show host, media executive, actress, and philanthropist who became one of the most influential and wealthy figures in global entertainment and culture.
-
C.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
D.
Kim Kardashian
Kim Kardashian is an American media personality, businesswoman, and reality television star known for "Keeping Up with the Kardashians" and her influential presence in fashion and beauty.
-
E.
Atlantic Media
Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580f55a88190b37b54ee0ed5ac7c |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c93bbd508190b81527bd95c6e5f4 |
completed | Feb. 28, 2026, 10:53 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.