Triple
T14589118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On Abroad |
E342397
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ray Brooks |
E894434
|
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: Ray Brooks | Statement: [Carry On Abroad, stars, Ray Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Brooks Context triple: [Carry On Abroad, stars, Ray Brooks]
-
A.
Ray Brooks
chosen
Ray Brooks is a British actor best known for his work in film and television since the 1960s, including prominent roles in socially conscious dramas and popular series.
-
B.
Greg Kelso
Greg Kelso is a musician best known as a member of the rock band Scars on Broadway.
-
C.
Jeff Pilson
Jeff Pilson is an American bassist and producer best known for his work with the rock bands Dokken and Foreigner.
-
D.
Bruce Brooks
Bruce Brooks is a fictional character from the drama film "I Smile Back," which explores themes of addiction, mental illness, and family turmoil.
-
E.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c1768881909eebb0dae15ac964 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.