Triple
T1963175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mann |
E42631
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Golo Mann |
E44477
|
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: Golo Mann | Statement: [Mann, hasNotableBearer, Golo Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golo Mann Context triple: [Mann, hasNotableBearer, Golo Mann]
-
A.
Golo Mann
chosen
Golo Mann was a German historian, essayist, and writer known for his works on modern European history and his reflections on politics and culture.
-
B.
Marcello Truzzi
Marcello Truzzi was a sociologist and skeptic best known as a co-founder of the modern skeptical movement and an early leader in the critical examination of paranormal claims.
-
C.
Giorgio Basta
Giorgio Basta was a late 16th–early 17th century Habsburg general of Albanian origin, best known for his harsh military rule and campaigns in Transylvania during the wars against the Ottoman Empire.
-
D.
Leo Tover
Leo Tover was an American cinematographer known for his work on numerous classic Hollywood films across several decades.
-
E.
Alfredo Volpi
Alfredo Volpi was a prominent Italian-Brazilian modernist painter renowned for his colorful geometric compositions and iconic “bandeirinhas” (little flags) motifs.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ac31a08190abaecac8badc52c7 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd32eb88190a2069b6490b12e5d |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.