Triple
T20165402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R.O.B. |
E491813
|
entity |
| Predicate | compatibleWithGame |
P34359
|
FINISHED |
| Object |
Stack-Up
Stack-Up is a puzzle video game for the Nintendo Entertainment System designed specifically to be played using the R.O.B. (Robotic Operating Buddy) accessory.
|
E1414363
|
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: Stack-Up | Statement: [R.O.B., compatibleWithGame, Stack-Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stack-Up Context triple: [R.O.B., compatibleWithGame, Stack-Up]
-
A.
Stacked Deck
"Stacked Deck" is a song featured on the album "Let's Roll."
-
B.
Sum It Up
Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
-
C.
Stacking
Stacking is a puzzle-adventure video game by Double Fine Productions centered on Russian nesting dolls, where players solve challenges by stacking into different characters to use their unique abilities.
-
D.
Stacked
Stacked is an American sitcom starring Pamela Anderson as a party girl who starts working in a bookstore, blending her comedic persona with a quirky workplace setting.
-
E.
Side Out
Side Out is a 1990 sports comedy film centered on professional beach volleyball and personal reinvention set against the backdrop of Southern California.
- 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: Stack-Up Triple: [R.O.B., compatibleWithGame, Stack-Up]
Generated description
Stack-Up is a puzzle video game for the Nintendo Entertainment System designed specifically to be played using the R.O.B. (Robotic Operating Buddy) accessory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stack-Up Target entity description: Stack-Up is a puzzle video game for the Nintendo Entertainment System designed specifically to be played using the R.O.B. (Robotic Operating Buddy) accessory.
-
A.
Stacked Deck
"Stacked Deck" is a song featured on the album "Let's Roll."
-
B.
Sum It Up
Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
-
C.
Stacking
Stacking is a puzzle-adventure video game by Double Fine Productions centered on Russian nesting dolls, where players solve challenges by stacking into different characters to use their unique abilities.
-
D.
Stacked
Stacked is an American sitcom starring Pamela Anderson as a party girl who starts working in a bookstore, blending her comedic persona with a quirky workplace setting.
-
E.
Side Out
Side Out is a 1990 sports comedy film centered on professional beach volleyball and personal reinvention set against the backdrop of Southern California.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08347d2330819088d865390a86d34c |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a083555576c8190ba5df77ef48aa975 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08360def9c8190b8a2d48814ee13c8 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 11, 2026, 11:35 p.m.