Triple
T19020769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leucippe |
E465477
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object | Leukippe |
—
|
NE NERFINISHED |
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: Leukippe | Statement: [Leucippe, hasVariantName, Leukippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leukippe Context triple: [Leucippe, hasVariantName, Leukippe]
-
A.
Thrasylus
Thrasylus was an Argive military leader active during the late 5th century BC, notably involved in the Peloponnesian War.
-
B.
Anaxibius
Anaxibius is an ancient Greek figure known primarily through his familial connection as the paternal nephew of Pleistrus.
-
C.
Filotas
Filotas is a village in northern Greece located close to Lake Vegoritida, known for its agricultural surroundings and scenic natural setting.
-
D.
Stilpo
Stilpo was an influential 4th–3rd century BCE Greek philosopher known for his leadership of the Megarian school and his sharp dialectical skill.
-
E.
Leucippe
chosen
Leucippe is a lesser-known figure in Greek mythology, traditionally identified as one of the many children of the Trojan king Priam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6de93408190a98dea2319f1af62 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.