Triple
T310830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas Day |
E7602
|
entity |
| Predicate | associatedFigure |
P1183
|
FINISHED |
| Object |
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
|
E52441
|
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: Nikolaus | Statement: [Saint Nicholas Day, associatedFigure, Nikolaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolaus Context triple: [Saint Nicholas Day, associatedFigure, Nikolaus]
-
A.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
B.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
C.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Gotthard Heinrici
Gotthard Heinrici was a German Wehrmacht field marshal renowned as one of Nazi Germany’s most skilled defensive commanders during World War II, particularly in the war’s final stages.
- 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: Nikolaus Triple: [Saint Nicholas Day, associatedFigure, Nikolaus]
Generated description
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikolaus Target entity description: Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
A.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
B.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
C.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
D.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
E.
Gotthard Heinrici
Gotthard Heinrici was a German Wehrmacht field marshal renowned as one of Nazi Germany’s most skilled defensive commanders during World War II, particularly in the war’s final stages.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea49636c8190a69cbd951fc0a4db |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41b4344f081909306258971f45687 |
completed | March 1, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_69a41d47489481908df06a05878f1d5c |
completed | March 1, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a422dcf12c81908277fe99e029fa8d |
completed | March 1, 2026, 11:28 a.m. |
Created at: Feb. 28, 2026, 1:07 p.m.