Triple
T2129721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barely Lethal |
E46508
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sophie Turner |
E230969
|
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: Sophie Turner | Statement: [Barely Lethal, starring, Sophie Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Turner Context triple: [Barely Lethal, starring, Sophie Turner]
-
A.
Sophie Turner
chosen
Sophie Turner is an English actress best known for her role as Sansa Stark in the television series "Game of Thrones."
-
B.
Emilia Clarke
Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
-
C.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
-
D.
Jodie Comer
Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
-
E.
Lily James
Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a5d95881909b4b77c14f565e21 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.