Triple
T840710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Firth |
E18169
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Will Firth |
E18169
|
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: Will Firth | Statement: [Will Firth, name, Will Firth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Firth Context triple: [Will Firth, name, Will Firth]
-
A.
Will Firth
chosen
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
B.
Dean-Charles Chapman
Dean-Charles Chapman is an English actor best known for his roles in the war film "1917" and the television series "Game of Thrones."
-
C.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
D.
Richard Holland
Richard Holland is an American music producer and former husband of renowned singer Chaka Khan.
-
E.
Callum Turner
Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television dramas.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe5d7848190b15e0cb343b6f4ba |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0330b4819089042160ff199336 |
completed | March 8, 2026, 12:12 a.m. |
Created at: March 1, 2026, 7:38 p.m.