Triple
T2600055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyche |
E58319
|
entity |
| Predicate | equivalentInRomanMythology |
P18136
|
FINISHED |
| Object | Fortuna |
E262440
|
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: Fortuna | Statement: [Tyche, equivalentInRomanMythology, Fortuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortuna Context triple: [Tyche, equivalentInRomanMythology, Fortuna]
-
A.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
B.
Felicitas
chosen
Felicitas is a feminine given name of Latin origin, associated with good fortune and happiness and historically linked to the Roman goddess of luck and success.
-
C.
Fortune
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.
-
D.
Erinys
Erinys is an epithet of the Greek goddess Demeter emphasizing her wrathful, vengeful aspect, particularly in myths involving the abduction of her daughter Persephone.
-
E.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd457564c819080d8c8818c02545a |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83cfdd6081908cdeb21243e73dda |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.