Triple
T9326882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John "Lucky" Garnett |
E224409
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John "Lucky" Garnett was an American actor, dancer, and singer best known for his work in Hollywood musical films of the 1930s and 1940s.
|
E794054
|
NE FINISHED |
How this triple was built (4 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: John | Statement: [John "Lucky" Garnett, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John "Lucky" Garnett, givenName, John]
-
A.
John
John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
-
B.
John
John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
-
C.
John
John is the given name of J. Tuzo Wilson, the influential Canadian geophysicist and plate tectonics pioneer.
-
D.
John
John is the first name of J. A. L. Waddell, a historical figure likely known for professional or scholarly contributions under his initials.
-
E.
John
John is the given name of John Edward Taylor, the 19th-century British publisher and founder of The Manchester Guardian newspaper.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Triple: [John "Lucky" Garnett, givenName, John]
Generated description
John "Lucky" Garnett was an American actor, dancer, and singer best known for his work in Hollywood musical films of the 1930s and 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John "Lucky" Garnett was an American actor, dancer, and singer best known for his work in Hollywood musical films of the 1930s and 1940s.
-
A.
John
John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
-
B.
John
John is the birth name of American actor, singer, and dancer Jack Haley, best known for playing the Tin Man in the classic film "The Wizard of Oz."
-
C.
John
John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
-
D.
John
John is the birth name of American actor and director Jackie Cooper, a prominent child star of the early 20th century.
-
E.
John
John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
- F. None of above. chosen
Provenance (5 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f88e988190bb896a3d7c3c723c |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3a3fb288190ac38f8df19eb1e79 |
completed | April 4, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d0f55656288190a989deec892cb2f9 |
completed | April 4, 2026, 11:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f5bf64548190b40e97b279db5105 |
completed | April 4, 2026, 11:27 a.m. |
Created at: March 30, 2026, 7:39 p.m.