Triple
T20518152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibi Besch |
E503733
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bibi Besch |
—
|
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: Bibi Besch | Statement: [Bibi Besch, name, Bibi Besch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibi Besch Context triple: [Bibi Besch, name, Bibi Besch]
-
A.
Bibi Besch
chosen
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.
-
B.
Bibi Vogel
Bibi Vogel was a Brazilian singer and actress best known for her work in popular music and television during the 1960s and 1970s.
-
C.
Zita Johann
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."
-
D.
Gitta Born
Gitta Born is a notable member of the Born family, recognized for her association with this prominent lineage.
-
E.
Sissy Böhm
Sissy Böhm is an Austrian actress and writer, known both for her work in film and television and as the daughter of renowned actor Karlheinz Böhm.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.