Triple
T16961533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sportpark Ronhof Thomas Sommer |
E411441
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Thomas Sommer |
E411441
|
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: Thomas Sommer | Statement: [Sportpark Ronhof Thomas Sommer, namedAfter, Thomas Sommer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Sommer Context triple: [Sportpark Ronhof Thomas Sommer, namedAfter, Thomas Sommer]
-
A.
Thomas Sommer
chosen
Thomas Sommer is a notable figure associated with German football, recognized as the namesake of the Sportpark Ronhof Thomas Sommer stadium in Fürth.
-
B.
Martin Sommer
Martin Sommer was an SS officer and concentration camp guard during Nazi Germany, notorious for his extreme brutality and war crimes.
-
C.
Christian Leumann
Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
-
D.
John Hofer
John Hofer is a musician best known as a member of the rock band Rogue Wave.
-
E.
Clemens Winter
Clemens Winter is a researcher and co-author known for collaborating with Tom B. Brown on work in artificial intelligence and machine learning.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0209a9081909d9c62456bc16e14 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46ad58c8190be9f0b36daba8162 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.