Triple
T18009249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vox Media |
E430833
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Eater |
—
|
NE NERFINISHED |
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: Eater | Statement: [Vox Media, owns, Eater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eater Context triple: [Vox Media, owns, Eater]
-
A.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
B.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
-
C.
The Restaurant
The Restaurant is a television series produced by Reveille Productions that follows the behind-the-scenes drama of launching and running a high-profile restaurant.
-
D.
Bon Appétit
chosen
Bon Appétit is a popular American food and lifestyle magazine and media brand known for its recipes, cooking videos, and culinary culture coverage.
-
E.
Diner
Diner is a 1982 American coming-of-age comedy-drama film directed by Barry Levinson that follows a group of friends reuniting in 1959 Baltimore as they navigate adulthood, relationships, and changing times.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51e13788190bebbbdd7340e0982 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.