Triple
T15632346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living in Oblivion |
E375845
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Danielle von Zerneck |
—
|
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: Danielle von Zerneck | Statement: [Living in Oblivion, stars, Danielle von Zerneck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle von Zerneck Context triple: [Living in Oblivion, stars, Danielle von Zerneck]
-
A.
Danielle von Zerneck
chosen
Danielle von Zerneck is an American actress and producer best known for playing Donna Ludwig in the 1987 biographical film "La Bamba."
-
B.
Danielle Kreinik
Danielle Kreinik is a television producer best known for her executive production work on the comedy series "Mythic Quest."
-
C.
Danielle Lassner
Danielle Lassner is the mother of television producer Andy Lassner, known for his work on "The Ellen DeGeneres Show."
-
D.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
-
E.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:14 a.m.