Triple
T13232905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Zweig |
E315066
|
entity |
| Predicate | previousEmployer |
P1910
|
FINISHED |
| Object | Money magazine |
E79714
|
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: Money magazine | Statement: [Jason Zweig, previousEmployer, Money magazine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money magazine Context triple: [Jason Zweig, previousEmployer, Money magazine]
-
A.
Money magazine
chosen
Money magazine is a personal finance publication known for its rankings and advice on investing, saving, and quality-of-life evaluations of cities and communities.
-
B.
Fortune magazine
Fortune magazine is a prominent American business publication known for its in-depth reporting on corporate affairs, economics, and its influential rankings such as the Fortune 500.
-
C.
Time magazine
Time magazine is a long-running American weekly news magazine known for its influential coverage of global events, politics, and culture.
-
D.
Chance magazine
Chance magazine is a popular statistics-focused publication that presents statistical ideas, applications, and case studies to a broad audience, often highlighting real-world data and current events.
-
E.
Forbes
Forbes is a global media company best known for its business magazine that ranks and profiles the world’s wealthiest individuals, companies, and influential leaders.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d34ff288190bdb550a019b7a470 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.