Triple
T3430582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Kluger |
E72325
|
entity |
| Predicate | writesFor |
P11775
|
FINISHED |
| Object | Time.com |
E801
|
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: Time.com | Statement: [Jeffrey Kluger, writesFor, Time.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time.com Context triple: [Jeffrey Kluger, writesFor, Time.com]
-
A.
Time magazine
chosen
Time magazine is a long-running American weekly news magazine known for its influential coverage of global events, politics, and culture.
-
B.
FT Weekend
FT Weekend is the Financial Times’ flagship weekend edition, featuring in-depth journalism, culture, lifestyle, and commentary tailored for leisurely weekend reading.
-
C.
Time Inc.
Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
-
D.
Fast Company
Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
-
E.
The New York Times Magazine
The New York Times Magazine is a weekly long-form journalism and feature magazine known for its in-depth reporting, narrative essays, and distinctive photography and design.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9bd61908190a7bdd01f24334fc3 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547b1b3481909646bf36e8461ff4 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.