Triple
T279690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malena Ernman |
E5325
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Malena Ernman |
E5325
|
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: Malena Ernman | Statement: [Malena Ernman, name, Malena Ernman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malena Ernman Context triple: [Malena Ernman, name, Malena Ernman]
-
A.
Malena Ernman
chosen
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.
-
B.
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."
-
C.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
D.
Anne Baxter
Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
-
E.
Elsa Lanchester
Elsa Lanchester was a British-born character actress best known for her eccentric and memorable roles in classic Hollywood films, including her iconic turn in "The Bride of Frankenstein."
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25def95c48190bb8ab2259f67b583 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a2b1a081909bb78499544984da |
completed | March 1, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.