Triple
T15460168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Film School of Denmark |
E371875
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Susanna Bier |
E244209
|
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: Susanna Bier | Statement: [National Film School of Denmark, hasAlumnus, Susanna Bier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susanna Bier Context triple: [National Film School of Denmark, hasAlumnus, Susanna Bier]
-
A.
Susanne Bier
chosen
Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
-
B.
Lone Scherfig
Lone Scherfig is a Danish film director and screenwriter known for her character-driven dramas and romantic comedies, including the acclaimed film "An Education."
-
C.
Kristin Weitz
Kristin Weitz is an individual notable enough to be specifically recorded as a bearer of the surname Weitz.
-
D.
Maren Ade
Maren Ade is a German film director, screenwriter, and producer best known internationally for her critically acclaimed feature "Toni Erdmann."
-
E.
Debra Granik
Debra Granik is an American filmmaker best known for directing the critically acclaimed independent dramas "Winter's Bone" and "Leave No Trace."
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d42977881909ed07b58c029cbe9 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:32 a.m.