Triple
T16649363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa ’51 |
E404561
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ingrid Bergman |
E16365
|
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: Ingrid Bergman | Statement: [Europa ’51, starring, Ingrid Bergman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Bergman Context triple: [Europa ’51, starring, Ingrid Bergman]
-
A.
Ingrid Bergman
chosen
Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
-
B.
Eva Bergman
Eva Bergman is a Swedish theatre and television director, known for her work on stage and screen and as the daughter of filmmaker Ingmar Bergman.
-
C.
Ingrid Thulin
Ingrid Thulin was a renowned Swedish actress best known for her intense, emotionally complex performances in several of Ingmar Bergman’s classic films.
-
D.
Audrey Hepburn
Audrey Hepburn was an iconic British actress and humanitarian, celebrated for her timeless style and roles in classic films such as "Breakfast at Tiffany's."
-
E.
Luise Rainer
Luise Rainer was a German-born American actress and two-time Academy Award winner in the 1930s, known for her emotionally nuanced performances in Hollywood’s Golden Age.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c0e37c819080161d522069aa1d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.