Triple
T1703239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeno |
E36812
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ariadne |
E99720
|
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: Ariadne | Statement: [Zeno, spouse, Ariadne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariadne Context triple: [Zeno, spouse, Ariadne]
-
A.
Ariadne
chosen
Ariadne is a figure from Greek mythology, best known as the Cretan princess who helped Theseus defeat the Minotaur and later became associated with the god Dionysus.
-
B.
Danaë
Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
-
C.
Pasiphaë
Pasiphaë is a figure in Greek mythology, the Cretan queen and wife of King Minos best known for being the mother of the Minotaur.
-
D.
Orthia
Orthia is an epithet of the Greek goddess Artemis associated especially with a fierce, wild aspect of her worship, notably at the sanctuary of Artemis Orthia in Sparta.
-
E.
Alcione
Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f0eb408190809d1f6496d38e0b |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8acf74848190a18e41988647edcd |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.