Triple
T10512423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying High |
E247947
|
entity |
| Predicate | starring |
P1507
|
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: [Flying High, starring, Guy Kibbee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Kibbee Context triple: [Flying High, starring, 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.
Austin Corbett
Austin Corbett is an American football offensive lineman who played college football at Nevada and went on to a professional career in the NFL.
-
C.
Joe Hogue
Joe Hogue is a music producer known for his work on early recordings by pop artist Katy Perry (then performing as Katy Hudson).
-
D.
Chris Liddell
Chris Liddell is a New Zealand-born businessman and former corporate executive who served as White House Deputy Chief of Staff for Policy Coordination under U.S. President Donald Trump.
-
E.
Milton Kibbee
Milton Kibbee was an American character actor known for his numerous supporting roles in Hollywood films during the 1930s and 1940s.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90de6e9508190a1cdf348ec542dd5 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:27 p.m.