Triple
T3321308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bridge Too Far |
E69800
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Liv Ullmann |
E252827
|
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: Liv Ullmann | Statement: [A Bridge Too Far, stars, Liv Ullmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liv Ullmann Context triple: [A Bridge Too Far, stars, Liv Ullmann]
-
A.
Liv Ullmann
chosen
Liv Ullmann is a renowned Norwegian actress and director, celebrated for her intense performances in Ingmar Bergman’s films and her significant contributions to international cinema.
-
B.
Pernilla August
Pernilla August is a Swedish actress and director best known internationally for playing Shmi Skywalker, Anakin Skywalker’s mother, in the Star Wars prequel films.
-
C.
Hanna Schygulla
Hanna Schygulla is a renowned German actress and singer, best known as a muse of director Rainer Werner Fassbinder and a prominent figure of New German Cinema.
-
D.
Thilde Benz
Thilde Benz was one of the children of German engineer and automobile pioneer Karl Benz.
-
E.
Ingrid Bergman
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."
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13b85208190b13aba355d5dafcf |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7954248190b0c7b5d6ab3c6687 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.