Triple
T1414241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpheus |
E31875
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Eurydice |
E162830
|
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: Eurydice | Statement: [Orpheus, associatedWith, Eurydice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurydice Context triple: [Orpheus, associatedWith, Eurydice]
-
A.
Eurydice
chosen
Eurydice is a figure from Greek mythology best known as the wife of Orpheus, whose tragic death and attempted rescue from the underworld form one of the most famous mythic love stories.
-
B.
Eurydice I
Eurydice I was a Macedonian queen of the Argead dynasty, grandmother of Alexander the Great and an influential royal matriarch in 4th-century BCE Macedon.
-
C.
Orpheus
Orpheus is a legendary musician, poet, and prophet in ancient Greek mythology, famed for his enchanting music that could charm all living things and even the gods of the underworld.
-
D.
Persephone
Persephone is the Greek goddess of spring and queen of the underworld, known for her abduction by Hades and her role in the myth explaining the seasons.
-
E.
Atropos
Atropos is the Fate in Greek mythology who determines the end of a mortal’s life by cutting their thread.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e5f9d08190861206934cd71fd8 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ae530081909695bde0d9c46d41 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.