Triple
T15412790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Mario |
E368634
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Baby Luigi
Baby Luigi is the infant version of Luigi who appears as a playable character in various Mario franchise games, often alongside his brother Baby Mario.
|
E1160670
|
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: Baby Luigi | Statement: [Baby Mario, relative, Baby Luigi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Luigi Context triple: [Baby Mario, relative, Baby Luigi]
-
A.
Boo Luigi
Boo Luigi is a ghostly transformation of Luigi in the Mario series that allows him to float, phase through objects, and interact with other ghosts.
-
B.
Luigi
Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
-
C.
Luigi
Luigi is a character in Robert Browning's verse drama "Pippa Passes," depicted as an Italian patriot involved in a plot against Austrian rule.
-
D.
Luigi
Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
-
E.
Luigi
Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
- 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: Baby Luigi Triple: [Baby Mario, relative, Baby Luigi]
Generated description
Baby Luigi is the infant version of Luigi who appears as a playable character in various Mario franchise games, often alongside his brother Baby Mario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baby Luigi Target entity description: Baby Luigi is the infant version of Luigi who appears as a playable character in various Mario franchise games, often alongside his brother Baby Mario.
-
A.
Boo Luigi
Boo Luigi is a ghostly transformation of Luigi in the Mario series that allows him to float, phase through objects, and interact with other ghosts.
-
B.
Luigi
Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
-
C.
Luigi
Luigi is a character in Robert Browning's verse drama "Pippa Passes," depicted as an Italian patriot involved in a plot against Austrian rule.
-
D.
Luigi
Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
-
E.
Luigi
Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364f8ab481909f88e6b5fb42cd19 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:20 a.m.