Triple
T23074352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Elizabeth Kingston |
E575285
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Florian Haertel |
—
|
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: Florian Haertel | Statement: [Alexandra Elizabeth Kingston, spouse, Florian Haertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Haertel Context triple: [Alexandra Elizabeth Kingston, spouse, Florian Haertel]
-
A.
Florian Haertel
chosen
Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
-
B.
Andreas Thiel
Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
-
C.
Florian Ballhaus
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
-
D.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
E.
Olli Dittrich
Olli Dittrich is a German actor, comedian, and musician best known for his work in television sketch comedy and film.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.