Triple
T17201735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Plachy |
E417489
|
entity |
| Predicate | employer |
P7
|
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: [Sylvia Plachy, employer, Fortune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortune Context triple: [Sylvia Plachy, employer, 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.
Fortune
Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
-
C.
Fortune
Fortune is a small coastal town on the Burin Peninsula of Newfoundland and Labrador, Canada, known as a gateway to the French islands of Saint Pierre and Miquelon.
-
D.
Fortune
"Fortune" is a song by British singer-songwriter Laura Marling from her critically acclaimed album "Song for Our Daughter."
-
E.
Fortune
"Fortune" is a film featuring actor Matthew Salinger, known for his role in the 1990 "Captain America" adaptation.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.