Triple
T7581022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Houseman |
E179484
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Zita Johann |
E182672
|
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: Zita Johann | Statement: [John Houseman, spouse, Zita Johann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zita Johann Context triple: [John Houseman, spouse, Zita Johann]
-
A.
Zita Johann
chosen
Zita Johann was an Austro-Hungarian-born American stage and film actress best known for her role opposite Boris Karloff in the 1932 horror classic "The Mummy."
-
B.
Rita König
Rita König is a German former épée fencer best known for winning a silver medal at the 2000 Sydney Olympic Games.
-
C.
Nena von Schlebrügge
Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
-
D.
Bibi Besch
Bibi Besch was an Austrian-American actress best known for her film and television work in the 1970s and 1980s, including prominent roles in science fiction and drama.
-
E.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97717048190b0ca1a74ed8a817e |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861735c7c81908e2c9fcbb1005ec3 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.