Triple
T5080951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Pavlov |
E114507
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pavlov |
E114507
|
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: Pavlov | Statement: [Ivan Pavlov, familyName, Pavlov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlov Context triple: [Ivan Pavlov, familyName, Pavlov]
-
A.
Ivan Pavlov
chosen
Ivan Pavlov was a Russian physiologist best known for his pioneering research on classical conditioning, which profoundly shaped the fields of psychology and behaviorism.
-
B.
Murray Sidman
Murray Sidman was an American behavioral psychologist best known for his pioneering work in experimental analysis of behavior and the development of the Sidman avoidance procedure.
-
C.
Mikhail Belyaev
Mikhail Belyaev was a Russian Imperial general who served as the last War Minister of the Russian Empire during World War I.
-
D.
Eugene Belyaev
Eugene Belyaev is a Russian software engineer and entrepreneur best known as a co-founder of the software development tools company JetBrains.
-
E.
Pavlovich
Pavlovich is the Russian patronymic indicating "son of Pavel," used in the full name of Emperor Alexander I of Russia.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f9d9848190919aad6cfe14f1cf |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6f3eb48190b544bf743829cb0c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.