Triple
T25737211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döllersheim parish |
E645406
|
entity |
| Predicate | hasNotablePersonBaptized |
P13158
|
FINISHED |
| Object | Alois Schicklgruber |
—
|
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: Alois Schicklgruber | Statement: [Döllersheim parish, hasNotablePersonBaptized, Alois Schicklgruber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonBaptized Context triple: [Döllersheim parish, hasNotablePersonBaptized, Alois Schicklgruber]
-
A.
baptismAssociatedWith
Indicates a relationship in which an entity is connected or related to a baptism event, such as by participation, performance, location, or contextual association.
-
B.
baptismPlace
chosen
Indicates the place where an individual was baptized.
-
C.
baptized
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
D.
baptismCountry
Indicates the country in which an entity’s baptism took place.
-
E.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
- F. None of above.
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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 21, 2026, 11:28 p.m.