Triple
T2673908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Strong |
E56411
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | actor Colin Firth |
E1984
|
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: actor Colin Firth | Statement: [Mark Strong, hasWorkedWith, actor Colin Firth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: actor Colin Firth Context triple: [Mark Strong, hasWorkedWith, actor Colin Firth]
-
A.
Colin Firth
chosen
Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
-
B.
Mark Fiennes
Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
-
C.
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.
-
D.
Magnus Fiennes
Magnus Fiennes is a British composer, record producer, and songwriter known for his work in film, television, and pop music.
-
E.
Rupert Everett
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."
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b228cc819097f045b4a51d8e7c |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa06170108190a6f4be82fa4ecd2a |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.