Triple
T6702591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Cook |
E152916
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clyde Cook |
E152916
|
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: Clyde Cook | Statement: [Clyde Cook, name, Clyde Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clyde Cook Context triple: [Clyde Cook, name, Clyde Cook]
-
A.
Clyde Cook
chosen
Clyde Cook was an Australian-born silent film and early sound-era comic actor known for his acrobatic physical comedy and appearances in numerous Hollywood comedies of the 1920s and 1930s.
-
B.
Rex Scouten
Rex Scouten was a longtime White House staff member who served multiple presidents in key roles overseeing the executive mansion’s operations and preservation.
-
C.
Clarence Muse
Clarence Muse was an American actor, director, and composer known as a pioneering Black performer in early 20th-century film and theater.
-
D.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
E.
Bill Cobbs
Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e5eb0c81908c4fa3febd2d23ca |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70083e1948190b5ee3fffb9783531 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.