Triple
T21463436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Flame |
E529530
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Peter Kerrigan |
—
|
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: Peter Kerrigan | Statement: [The Big Flame, starred, Peter Kerrigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Kerrigan Context triple: [The Big Flame, starred, Peter Kerrigan]
-
A.
Peter Kerrigan
chosen
Peter Kerrigan was a British actor known for his work in television and film, particularly in socially conscious dramas of the late 20th century.
-
B.
Jonathan Kerrigan
Jonathan Kerrigan is a British actor known for his roles in television dramas such as Casualty, Heartbeat, and In the Club.
-
C.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
-
D.
David Nobbs
David Nobbs was a British comedy writer and novelist best known for his sharp, character-driven humor and influential work in television sitcoms and comic fiction.
-
E.
Charles Brust
Charles Brust was the husband of American film and radio actress Rochelle Hudson.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9efdb188190be79b72e1bd18860 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.