Triple
T23132908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulrich Almer |
E577224
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Christian Almer |
—
|
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: Christian Almer | Statement: [Ulrich Almer, notableRelative, Christian Almer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Almer Context triple: [Ulrich Almer, notableRelative, Christian Almer]
-
A.
Christian Almer
chosen
Christian Almer was a renowned 19th-century Swiss mountain guide and pioneering alpinist known for making many important first ascents in the Alps.
-
B.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
C.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the fantasy film "Dragonheart."
-
D.
Peter Amundson
Peter Amundson is a film editor known for his work on movies such as the superhero comedy "Sky High."
-
E.
Peter Amundson
Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e89cce881908727a94dbc00e031 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.