Triple
T3088788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olie Kolzig |
E64438
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
|
E346174
|
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: Kölzig | Statement: [Olie Kolzig, familyName, Kölzig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kölzig Context triple: [Olie Kolzig, familyName, Kölzig]
-
A.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
B.
Kronsberg
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
-
C.
Böbing
Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
-
D.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
E.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
- 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: Kölzig Triple: [Olie Kolzig, familyName, Kölzig]
Generated description
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kölzig Target entity description: Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
A.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
B.
Kronsberg
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
-
C.
Böbing
Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
-
D.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
E.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20b99a4819090c3d3e08ed556ad |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3af69288190869eb648d15ad5e7 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2fff1bef8819092db1795240bf9af |
completed | March 12, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b30e8563f481909b64226e133cc744 |
completed | March 12, 2026, 7:05 p.m. |
Created at: March 8, 2026, 3:03 p.m.