Triple
T9606996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Forbes |
E231995
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Forbes Media |
E31814
|
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: Forbes Media | Statement: [Steve Forbes, employer, Forbes Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forbes Media Context triple: [Steve Forbes, employer, Forbes Media]
-
A.
Forbes Global Media Holdings
Forbes Global Media Holdings is the parent company that controls the Forbes brand and its global media, publishing, and business information operations.
-
B.
Forbes
chosen
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.
-
C.
Forbes
Forbes is a historic rural town in central-west New South Wales, Australia, known for its agricultural industry and heritage architecture along the Lachlan River.
-
D.
Atlantic Media
Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
-
E.
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.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a62372881908bf21be91e7285fb |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17942504481908e7147a0f56bdf96 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:08 p.m.