Triple
T14712297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Σωφρονίσκος |
E345577
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Phaenarete |
E72429
|
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: Phaenarete | Statement: [Σωφρονίσκος, spouse, Phaenarete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phaenarete Context triple: [Σωφρονίσκος, spouse, Phaenarete]
-
A.
Phaenarete
chosen
Phaenarete was an Athenian midwife best known as the mother of the philosopher Socrates.
-
B.
Phaeista
Phaeista is a taxonomic superclass that groups together certain brown algae within the class Phaeophyceae.
-
C.
Anthedon
Anthedon was an ancient Boeotian coastal town in Greece, known in mythology as a center of marine cults and particularly associated with the sea-god Glaucus.
-
D.
Alcippe
Alcippe is a minor figure in Greek mythology known primarily as the daughter of King Oenomaus of Pisa.
-
E.
Alcippe
Alcippe is a genus of small, often drab-colored passerine birds commonly known as fulvettas, traditionally placed among the Old World babblers.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08f2aa08190a5ac3240d1de90fb |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.