Triple
T15729657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane |
E381307
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Dakota Fanning |
E75080
|
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 Fanning | Statement: [Jane, portrayedBy, Dakota Fanning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakota Fanning Context triple: [Jane, portrayedBy, Dakota Fanning]
-
A.
Dakota Fanning
chosen
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
-
B.
Elle Fanning
Elle Fanning is an American actress known for her versatile performances in films such as "Super 8," "Maleficent," and "The Neon Demon," as well as the TV series "The Great."
-
C.
Haley Bennett
Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
-
D.
Dakota O'Donnell
Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
-
E.
Maggie Grace
Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179d63688190bda2758ed4b4e4df |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 4:46 a.m.