Triple
T19076690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omi Engel |
E466923
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Krista Stadler |
—
|
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: Krista Stadler | Statement: [Omi Engel, portrayedBy, Krista Stadler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krista Stadler Context triple: [Omi Engel, portrayedBy, Krista Stadler]
-
A.
Krista Stadler
chosen
Krista Stadler is an Austrian actress known for her work in film, television, and theater, including roles in international productions.
-
B.
Christina Steinberg
Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
-
C.
Kristina Osterhaut
Kristina Osterhaut is an actress known for playing the character Hope Williams Brady on the long-running soap opera "Days of Our Lives."
-
D.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
E.
Kristin Westphalen
Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.