Triple
T22101507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bells Go Down |
E546181
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | George Carney |
—
|
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: George Carney | Statement: [The Bells Go Down, castMember, George Carney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Carney Context triple: [The Bells Go Down, castMember, George Carney]
-
A.
George Carney
chosen
George Carney was a British character actor active in the early to mid-20th century, known for his supporting roles in numerous films and stage productions.
-
B.
Arthur William Matthew Carney
Arthur William Matthew Carney was an American actor and comedian best known for his role as Ed Norton on the classic television series "The Honeymooners."
-
C.
Gordon Carroll
Gordon Carroll was an American film producer best known for his work on influential movies such as "Alien."
-
D.
Chris Gibbs
Chris Gibbs is an actor known for appearing in the 2016 fantasy adventure film "The BFG," directed by Steven Spielberg.
-
E.
John Carnes
John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.