Triple
T13934297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Roos |
E335074
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Roos |
E673065
|
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: Roos | Statement: [Joanna Roos, familyName, Roos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roos Context triple: [Joanna Roos, familyName, Roos]
-
A.
Roos
chosen
Roos is a variant of the name Rose, often used as a given name or surname in various European languages.
-
B.
Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
-
C.
Roos
Roos is the common nickname for the North Melbourne Football Club, an Australian rules football team in the Australian Football League.
-
D.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
E.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.