Triple
T13716859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Domeyko |
E328923
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ignacy |
E65537
|
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: Ignacy | Statement: [Ignacy Domeyko, givenName, Ignacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ignacy Context triple: [Ignacy Domeyko, givenName, Ignacy]
-
A.
Ignacy
chosen
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
-
B.
Ignacy Sachs
Ignacy Sachs is a Polish-born French economist and sociologist known for his pioneering work on sustainable development and eco-development.
-
C.
Ignacy Fik
Ignacy Fik was a Polish literary critic, poet, and essayist active in the interwar period, known for his Marxist-oriented cultural analysis and involvement in leftist intellectual circles.
-
D.
Ignacy Krieger
Ignacy Krieger was a prominent 19th-century Polish photographer known for his extensive documentation of Kraków’s architecture, monuments, and everyday life.
-
E.
Feliks
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a847c4d08190b05ea525059f0465 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:54 p.m.