Triple
T502172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Mościcki |
E10424
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ignacy
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
|
E65537
|
NE FINISHED |
How this triple was built (4 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 Mościcki, givenName, Ignacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ignacy Context triple: [Ignacy Mościcki, givenName, Ignacy]
-
A.
August Zaleski
August Zaleski was a Polish diplomat and politician who served as President of Poland in exile after World War II.
-
B.
Isidor
Isidor is a masculine given name of Greek origin, borne by notable figures such as Nobel Prize–winning physicist Isidor Isaac Rabi.
-
C.
Abel Korzeniowski
Abel Korzeniowski is a Polish film and television composer known for his lush, emotive orchestral scores for works such as "A Single Man" and "Nocturnal Animals."
-
D.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ignacy Triple: [Ignacy Mościcki, givenName, Ignacy]
Generated description
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ignacy Target entity description: Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
-
A.
August Zaleski
August Zaleski was a Polish diplomat and politician who served as President of Poland in exile after World War II.
-
B.
Isidor
Isidor is a masculine given name of Greek origin, borne by notable figures such as Nobel Prize–winning physicist Isidor Isaac Rabi.
-
C.
Abel Korzeniowski
Abel Korzeniowski is a Polish film and television composer known for his lush, emotive orchestral scores for works such as "A Single Man" and "Nocturnal Animals."
-
D.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- F. None of above. chosen
Provenance (5 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1339748819089f89691a1698dd9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23bf69481908db3a0f3de8c2bf1 |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b2c975ec8190bc16f146f89c3f05 |
completed | March 1, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b343f8f88190bd011924dd485bef |
completed | March 1, 2026, 9:44 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.