Triple
T548852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamprocles |
E12792
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Xanthippe |
E12011
|
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: Xanthippe | Statement: [Lamprocles, mother, Xanthippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanthippe Context triple: [Lamprocles, mother, Xanthippe]
-
A.
Xanthippe
chosen
Xanthippe was the wife of the ancient Greek philosopher Socrates, traditionally depicted in classical sources as a sharp-tongued and strong-willed woman.
-
B.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
C.
Chrysothemis
Chrysothemis is one of the Hesperides, the nymphs of Greek mythology who tend a blissful garden at the western edge of the world.
-
D.
Jane Menelaus
Jane Menelaus is an Australian actress known for her work in film, television, and theatre, and for her long-term partnership with actor Geoffrey Rush.
-
E.
Eurycleia
Eurycleia is the loyal nurse of Odysseus who recognizes him by a scar when he returns home in disguise.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e63063388190bece9d3b8cc027b8 |
completed | March 2, 2026, 1:21 a.m. |
Created at: March 1, 2026, 7:32 p.m.