Triple
T5244478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSV 1860 Munich |
E118423
|
entity |
| Predicate | famousPlayer |
P9730
|
FINISHED |
| Object |
Thomas Häßler
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
|
E516618
|
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: Thomas Häßler | Statement: [TSV 1860 Munich, famousPlayer, Thomas Häßler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Häßler Context triple: [TSV 1860 Munich, famousPlayer, Thomas Häßler]
-
A.
Otmar Hasler
Otmar Hasler is a Liechtenstein politician who served as Prime Minister under Prince Hans-Adam II.
-
B.
Andreas Bühler
Andreas Bühler is a notable individual who shares the German surname Bühler, though specific widely recognized biographical details about him are not clearly established.
-
C.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
D.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
E.
Bernd Huber
Bernd Huber is a German economist and academic who served as president of Ludwig Maximilian University of Munich.
- 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: Thomas Häßler Triple: [TSV 1860 Munich, famousPlayer, Thomas Häßler]
Generated description
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Häßler Target entity description: Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
-
A.
Otmar Hasler
Otmar Hasler is a Liechtenstein politician who served as Prime Minister under Prince Hans-Adam II.
-
B.
Andreas Bühler
Andreas Bühler is a notable individual who shares the German surname Bühler, though specific widely recognized biographical details about him are not clearly established.
-
C.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
D.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
E.
Bernd Huber
Bernd Huber is a German economist and academic who served as president of Ludwig Maximilian University of Munich.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4fa0ec8190bce3da09aa768726 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf331e0e2881908b52da110384302a |
completed | March 22, 2026, 12:09 a.m. |
| NEDg | Description generation | batch_69bf33f58bc48190a3ac42d637f4a052 |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34882fdc8190acab540c5ff07bd8 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 1:49 p.m.