Triple
T8516439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakota Johnson |
E201583
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Dakota Mayi Johnson |
E201583
|
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: Dakota Mayi Johnson | Statement: [Dakota Johnson, birthName, Dakota Mayi Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakota Mayi Johnson Context triple: [Dakota Johnson, birthName, Dakota Mayi Johnson]
-
A.
Dakota Johnson
chosen
Dakota Johnson is an American actress best known for starring as Anastasia Steele in the film adaptation of the erotic romance novel "Fifty Shades of Grey" and its sequels.
-
B.
Hailee Steinfeld
Hailee Steinfeld is an American actress and pop singer known for her Oscar-nominated role in "True Grit" and hit songs like "Love Myself" and "Starving."
-
C.
Zendaya
Zendaya is an American actress and singer best known for her acclaimed, Emmy-winning performance as Rue Bennett in the HBO drama series "Euphoria."
-
D.
Olivia DeJonge
Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
-
E.
Britt Robertson
Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe62550908190af882019d68a904a |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb6855ec8190a85e5afeb656ee7d |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:15 p.m.