Triple
T21091168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The BFG (2016 film) |
E519639
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ruby Barnhill |
—
|
NE NERFINISHED |
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: Ruby Barnhill | Statement: [The BFG (2016 film), castMember, Ruby Barnhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Barnhill Context triple: [The BFG (2016 film), castMember, Ruby Barnhill]
-
A.
Ruby Barnhill
chosen
Ruby Barnhill is a British actress best known for her starring role as Sophie in Steven Spielberg's 2016 fantasy film "The BFG."
-
B.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
C.
Heather Worley
Heather Worley is a musician best known as a member of the Washington, D.C.-based post-punk band The Make-Up.
-
D.
Diana Vickers
Diana Vickers is an English singer, songwriter, and actress who rose to fame as a semi-finalist on the fifth series of The X Factor UK and later released successful pop records and appeared in stage and screen roles.
-
E.
Analeigh Tipton
Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ea7f881909db83bf6961b41ec |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:51 p.m.