Triple
T22508015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langen Foundation |
E556438
|
entity |
| Predicate | donor |
P499
|
FINISHED |
| Object | Marianne Langen |
—
|
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: Marianne Langen | Statement: [Langen Foundation, donor, Marianne Langen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Langen Context triple: [Langen Foundation, donor, Marianne Langen]
-
A.
Marianne Langen
chosen
Marianne Langen was a German art collector and philanthropist whose collection and patronage led to the establishment of the Langen Foundation museum.
-
B.
Johanna Lange
Johanna Lange was the wife of German philosopher and neo-Kantian thinker Friedrich Albert Lange.
-
C.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
D.
Marianne Stenshagen
Marianne Stenshagen is a Norwegian speed skater who has competed at the international level representing Norway.
-
E.
Marianne Willisch
Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5dec7c8190bf71ef76a2dfe9a4 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.