Triple
T10225477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stealing Beauty |
E243192
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Joseph Fiennes |
E30419
|
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: Joseph Fiennes | Statement: [Stealing Beauty, stars, Joseph Fiennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Fiennes Context triple: [Stealing Beauty, stars, Joseph Fiennes]
-
A.
Joseph Fiennes
chosen
Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
-
B.
Magnus Fiennes
Magnus Fiennes is a British composer, record producer, and songwriter known for his work in film, television, and pop music.
-
C.
William Fiennes
William Fiennes is an English writer and memoirist best known for his acclaimed books "The Snow Geese" and "The Music Room."
-
D.
Mark Fiennes
Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
-
E.
Jacob Fiennes
Jacob Fiennes is a member of the Fiennes family, known as a relative of English actor Joseph Fiennes.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:17 a.m.