Triple
T902117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortune 1000 |
E19469
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Fortune |
E3452
|
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: Fortune | Statement: [Fortune 1000, publisher, Fortune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortune Context triple: [Fortune 1000, publisher, Fortune]
-
A.
Fortune
chosen
Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
-
B.
That Fortune
"That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
-
C.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
D.
Oracle of Omaha
The Oracle of Omaha is the famous nickname of legendary American investor Warren Buffett, renowned for his long-term value investing success and financial wisdom.
-
E.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4412408190a6bf8fc7484a5781 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c736bb6c8190a9cad1ef536be785 |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.