Triple
T201235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Fleming |
E4507
|
entity |
| Predicate | workedWith |
P398
|
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: [Victor Fleming, workedWith, Ingrid Bergman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Bergman Context triple: [Victor Fleming, workedWith, 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.
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."
-
C.
Malena Ernman
Malena Ernman is a Swedish opera singer and environmental activist known both for her acclaimed mezzo-soprano career and as the mother of climate activist Greta Thunberg.
-
D.
Bette Davis
Bette Davis was an iconic American film actress renowned for her intense, uncompromising performances and pioneering portrayals of complex, strong-willed women on screen.
-
E.
Katharine Hepburn
Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be5a6d081909723b23a6361d6ea |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b8ac09c81908181fb0f15482e66 |
completed | March 1, 2026, 12:42 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.