Triple
T1725960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregor Mendel |
E37496
|
entity |
| Predicate | religiousName |
P13363
|
FINISHED |
| Object | Gregor |
E194828
|
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: Gregor | Statement: [Gregor Mendel, religiousName, Gregor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregor Context triple: [Gregor Mendel, religiousName, Gregor]
-
A.
Gregor
chosen
Gregor is a masculine given name of Latin origin, commonly associated with figures such as the pioneering geneticist Gregor Mendel.
-
B.
Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
C.
Sigmund
Sigmund is the given name of Sigmund Freud, the pioneering Austrian neurologist and founder of psychoanalysis.
-
D.
Gerasim
Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
-
E.
Eugen
Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635cad5481908e6c04a230d3b0bb |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d58cd08190bdda9f03ca458081 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.