Triple
T18810672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archelaus |
E460003
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object | Socrates |
—
|
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: Socrates | Statement: [Archelaus, teacherOf, Socrates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Socrates Context triple: [Archelaus, teacherOf, Socrates]
-
A.
Socrates
chosen
Socrates was a classical Athenian philosopher renowned as a founder of Western philosophy, known for his method of questioning and his trial and execution in Athens.
-
B.
Sócrates
Sócrates was a celebrated Brazilian footballer and physician, best known as the elegant, politically outspoken playmaker who captained Brazil’s national team in the early 1980s.
-
C.
Socrate
Socrate is a minimalist, three-part vocal work by French composer Erik Satie, based on dialogues of Plato and noted for its serene, understated setting of the text.
-
D.
Saukrates
Saukrates is a Canadian rapper and producer known as a pioneering figure in Toronto's hip-hop scene.
-
E.
Plato
Plato is a municipality in Colombia’s Magdalena Department, known for its location in the Caribbean region and its role as a local administrative and commercial center.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dc01248190ab1c8943d180ca05 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.