Triple
T8243300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Mountain Penitentiary |
E192787
|
entity |
| Predicate | hasDevice |
P274
|
FINISHED |
| Object |
Old Sparky
Old Sparky is the nickname commonly given to electric chairs used for executions in various American prisons.
|
E721737
|
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: Old Sparky | Statement: [Cold Mountain Penitentiary, hasDevice, Old Sparky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Sparky Context triple: [Cold Mountain Penitentiary, hasDevice, Old Sparky]
-
A.
Sparky
Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
-
B.
Sparky
Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
-
C.
Sparky Marcus
Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
-
D.
Old Man
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
-
E.
Marvin
Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
- 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: Old Sparky Triple: [Cold Mountain Penitentiary, hasDevice, Old Sparky]
Generated description
Old Sparky is the nickname commonly given to electric chairs used for executions in various American prisons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Sparky Target entity description: Old Sparky is the nickname commonly given to electric chairs used for executions in various American prisons.
-
A.
Sparky
Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
-
B.
Sparky
Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
-
C.
Sparky Marcus
Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
-
D.
Old Man
"Old Man" is a classic folk-rock song by Neil Young, known for its reflective lyrics about aging and life perspective, originally released on his 1972 album "Harvest."
-
E.
Marvin
Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3521bfb48190935fe82a1f768adc |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a5d3bc8190801b1b0f09eee462 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4edfda788190a29f5d9a7a61f6ed |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:47 p.m.