Triple
T14537235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force Majeure |
E341079
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ebba |
E728551
|
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: Ebba | Statement: [Force Majeure, mainCharacter, Ebba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebba Context triple: [Force Majeure, mainCharacter, Ebba]
-
A.
Ebba
chosen
Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
-
B.
Stina Gardell
Stina Gardell is a Swedish film producer known for her work on documentaries, including the acclaimed biographical film "Ingrid Bergman: In Her Own Words."
-
C.
Anette Qviberg
Anette Qviberg is a Swedish interior designer and fashion stylist best known for her long-term marriage to actor and martial artist Dolph Lundgren.
-
D.
Pia Lindström
Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
-
E.
Anette
Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.