Triple
T1686030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platonic solids |
E36442
|
entity |
| Predicate | studiedBy |
P1945
|
FINISHED |
| Object | Euclid |
E124667
|
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: Euclid | Statement: [Platonic solids, studiedBy, Euclid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euclid Context triple: [Platonic solids, studiedBy, Euclid]
-
A.
Euclid
chosen
Euclid was an ancient Greek mathematician, often called the "father of geometry," whose work, especially the Elements, laid the foundations of classical geometry.
-
B.
Pythagoras of Rhegion
Pythagoras of Rhegion was an ancient Greek sculptor renowned for his realistic bronze statues and is traditionally credited with creating the famous Charioteer of Delphi.
-
C.
Pythagoras
Pythagoras was an ancient Greek philosopher and mathematician best known for founding the Pythagorean school and for the Pythagorean theorem in geometry.
-
D.
Eudoxus of Cnidus
Eudoxus of Cnidus was an ancient Greek mathematician and astronomer renowned for developing the method of exhaustion and an influential geometric model of planetary motion.
-
E.
Thales
Thales is a major French multinational company specializing in aerospace, defense, security, and digital technologies.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79901458819098f0be72d9d4a9bb |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.