Triple
T16939198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Tumbler–Snapper |
E410905
|
entity |
| Predicate | notableTest |
P668
|
FINISHED |
| Object |
Dog (Tumbler–Snapper)
Dog was a 1952 U.S. atmospheric nuclear test conducted at the Nevada Test Site as part of the Operation Tumbler–Snapper series.
|
E1241916
|
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: Dog (Tumbler–Snapper) | Statement: [Operation Tumbler–Snapper, notableTest, Dog (Tumbler–Snapper)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dog (Tumbler–Snapper) Context triple: [Operation Tumbler–Snapper, notableTest, Dog (Tumbler–Snapper)]
-
A.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
B.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
C.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
D.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
E.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
- 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: Dog (Tumbler–Snapper) Triple: [Operation Tumbler–Snapper, notableTest, Dog (Tumbler–Snapper)]
Generated description
Dog was a 1952 U.S. atmospheric nuclear test conducted at the Nevada Test Site as part of the Operation Tumbler–Snapper series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dog (Tumbler–Snapper) Target entity description: Dog was a 1952 U.S. atmospheric nuclear test conducted at the Nevada Test Site as part of the Operation Tumbler–Snapper series.
-
A.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
B.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
C.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
D.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
E.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2c44288190a105761ae646989e |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe7e75881908f95b1d859dd67e4 |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0b13f1c819091f3f8b966e36214 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1ad6b7081908be76d70ad9e2075 |
completed | May 10, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:31 a.m.