Triple
T20187380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Burger |
E492896
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object |
Luigi Burger
Luigi Burger is a themed hamburger likely inspired by the Nintendo character Luigi, often paired or marketed alongside a corresponding Mario Burger.
|
E1416975
|
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: Luigi Burger | Statement: [Mario Burger, isRelatedTo, Luigi Burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luigi Burger Context triple: [Mario Burger, isRelatedTo, Luigi Burger]
-
A.
Louie Messer
Louie Messer is a fictional character in the CSI: NY universe, known primarily as the brother of crime scene investigator Danny Messer.
-
B.
Bobby Grazzo
Bobby Grazzo is a fictional character from the series "Vinnie & Bobby."
-
C.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
D.
Joseph Zito
Joseph Zito is an American film director best known for his work in 1980s horror and action cinema, including entries in the Friday the 13th franchise and films like Invasion U.S.A.
-
E.
Tony Prito
Tony Prito is a loyal friend and ally of the Hardy brothers in the Hardy Boys mystery series, often assisting them in their investigations and adventures.
- 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: Luigi Burger Triple: [Mario Burger, isRelatedTo, Luigi Burger]
Generated description
Luigi Burger is a themed hamburger likely inspired by the Nintendo character Luigi, often paired or marketed alongside a corresponding Mario Burger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luigi Burger Target entity description: Luigi Burger is a themed hamburger likely inspired by the Nintendo character Luigi, often paired or marketed alongside a corresponding Mario Burger.
-
A.
Louie Messer
Louie Messer is a fictional character in the CSI: NY universe, known primarily as the brother of crime scene investigator Danny Messer.
-
B.
Bobby Grazzo
Bobby Grazzo is a fictional character from the series "Vinnie & Bobby."
-
C.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
D.
Joseph Zito
Joseph Zito is an American film director best known for his work in 1980s horror and action cinema, including entries in the Friday the 13th franchise and films like Invasion U.S.A.
-
E.
Tony Prito
Tony Prito is a loyal friend and ally of the Hardy brothers in the Hardy Boys mystery series, often assisting them in their investigations and adventures.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad2c43c8190a2fc5ef2a0514e53 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c83f250819091828379318bf0a2 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083de4745c819093c2eeba0c9bfa19 |
completed | May 16, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083f2d7db081908c281445210f551b |
completed | May 16, 2026, 9:55 a.m. |
Created at: April 11, 2026, 11:36 p.m.