Triple
T3147129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Bach |
E65790
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas Bach |
E65790
|
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 Bach | Statement: [Thomas Bach, name, Thomas Bach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Bach Context triple: [Thomas Bach, name, Thomas Bach]
-
A.
Thomas Bach
chosen
Thomas Bach is a German lawyer and former Olympic fencer who serves as the president of the International Olympic Committee.
-
B.
Jacques Rogge
Jacques Rogge was a Belgian sports administrator and former Olympic sailor who served as the eighth president of the International Olympic Committee.
-
C.
Juan Antonio Samaranch
Juan Antonio Samaranch was a Spanish sports administrator who served as the influential president of the International Olympic Committee from 1980 to 2001.
-
D.
Sepp Blatter
Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
-
E.
Markus Merk
Markus Merk is a renowned German football referee who officiated at the highest levels of international and club competition, including multiple UEFA Champions League and major tournament finals.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f53bbc81908416272cd48af69e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.