Triple
T13054710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah John-Kamen |
E327539
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Sonja |
E885036
|
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: Sonja | Statement: [Hannah John-Kamen, characterPortrayed, Sonja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonja Context triple: [Hannah John-Kamen, characterPortrayed, Sonja]
-
A.
Sonja
Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
-
B.
Sonja
chosen
Sonja is a character from Woody Allen’s satirical film "Love and Death," serving as the witty and philosophical counterpart to the protagonist in its parody of Russian literature and existential themes.
-
C.
Sonja Zat
Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
-
D.
Sonja Kristina
Sonja Kristina is an English singer and actress best known as the lead vocalist of the progressive rock band Curved Air.
-
E.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdead348190aa7aaa29c371d72a |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.