Triple
T16064508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dafne Keen |
E389698
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dafne Keen |
E389698
|
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: Dafne Keen | Statement: [Dafne Keen, name, Dafne Keen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dafne Keen Context triple: [Dafne Keen, name, Dafne Keen]
-
A.
Dafne Keen
chosen
Dafne Keen is a British-Spanish actress best known for her breakout role as Laura/X-23 in the film "Logan" and for playing Lyra Belacqua in the television adaptation of "His Dark Materials."
-
B.
Sasha Calle
Sasha Calle is an American actress best known for playing Supergirl in the 2023 DC superhero film "The Flash."
-
C.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
D.
Samara Weaving
Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
-
E.
Maggie Jacobs
Maggie Jacobs is a fictional, socially awkward and fame-obsessed aspiring actress portrayed by Ashley Jensen in the British television comedy series "Extras."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.