Triple
T18828725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Meade |
E460464
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Mode magazine |
—
|
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: Mode magazine | Statement: [Alexis Meade, employer, Mode magazine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mode magazine Context triple: [Alexis Meade, employer, Mode magazine]
-
A.
Mode magazine
chosen
Mode magazine is the fictional high-fashion publication that serves as the primary workplace backdrop in the television series "Ugly Betty."
-
B.
The Magazine
The Magazine is a former 19th-century gunpowder store in London’s Kensington Gardens that was transformed into a contemporary art space now known as the Serpentine Sackler Gallery.
-
C.
The Magazine
"The Magazine" is a song by American musician Ty Segall from his experimental rock album "Emotional Mugger."
-
D.
Magazeen
Magazeen is a dancehall and reggae artist known for his affiliation with Rick Ross’s Maybach Music Group.
-
E.
This (magazine)
This was an avant-garde literary magazine associated with the Language poets, known for publishing experimental and innovative poetry and poetics.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99554848190933dd2810f5c810f |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.