Triple
T21038399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Peters |
E518252
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Hans Peters |
—
|
NE NERFINISHED |
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: Hans Peters | Statement: [Hans Peters, knownAs, Hans Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Peters Context triple: [Hans Peters, knownAs, Hans Peters]
-
A.
Hans Peters
chosen
Hans Peters was a film art director known for his work on classic mid-20th-century Hollywood productions.
-
B.
Hans Frisak
Hans Frisak was a mountaineer known for being among the first to successfully climb Iceland’s highest peak, Hvannadalshnúkur.
-
C.
Hans Schmidt
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
-
D.
Peter Rühmkorf
Peter Rühmkorf was a prominent German poet, essayist, and editor known for his linguistically inventive, socially critical literature and significant influence on postwar German letters.
-
E.
Herbert Hainer
Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:12 p.m.