Triple
T3510240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert |
E74177
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Rupert Everett |
E74162
|
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: Rupert Everett | Statement: [Rupert, hasNotableBearer, Rupert Everett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupert Everett Context triple: [Rupert, hasNotableBearer, Rupert Everett]
-
A.
Rupert Everett
chosen
Rupert Everett is an English actor and writer known for his sophisticated screen presence and roles in films such as "My Best Friend’s Wedding" and "An Ideal Husband."
-
B.
Rupert Graves
Rupert Graves is a British actor best known for his film and television work, including his role as DI Lestrade in the BBC series "Sherlock."
-
C.
Michael Sheen
Michael Sheen is a Welsh actor known for his versatile performances in film, television, and theatre, including prominent roles in projects like "Frost/Nixon," "The Queen," and "Good Omens."
-
D.
Joseph Fiennes
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.
-
E.
Daniel Mays
Daniel Mays is a British actor known for his versatile character roles in film and television, including prominent performances in projects like "Line of Duty," "Ashes to Ashes," and "Rogue One: A Star Wars Story."
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0e1f0c8190b054d9fba16ce4b3 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503d9643881909737836640c22802 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:18 p.m.