Triple
T1062722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babes in Arms |
E22942
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Guy Kibbee |
E115943
|
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: Guy Kibbee | Statement: [Babes in Arms, castMember, Guy Kibbee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Kibbee Context triple: [Babes in Arms, castMember, Guy Kibbee]
-
A.
Guy Kibbee
chosen
Guy Kibbee was an American character actor best known for his affable, often comical supporting roles in 1930s and 1940s Hollywood films.
-
B.
Cullen Landis
Cullen Landis was an American silent film actor prominent in the 1910s and 1920s, known for his boy-next-door roles in numerous dramas and comedies.
-
C.
Phil Bradley
Phil Bradley is a former American Major League Baseball outfielder best known for his time with the Seattle Mariners and Philadelphia Phillies in the 1980s.
-
D.
Matthew Kirk
Matthew Kirk is a notable individual who shares the surname Kirk, recognized for achievements significant enough to be distinguished among others with the same name.
-
E.
Jonny Moseley
Jonny Moseley is an American freestyle skier best known for winning the gold medal in moguls and popularizing innovative tricks on the international stage.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f68a54819084326d87c3498252 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc60b052c8190bacb19f0fdc8059a |
completed | March 8, 2026, 12:42 a.m. |
Created at: March 1, 2026, 7:42 p.m.