Triple
T2934674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario Bros. 3 |
E79236
|
entity |
| Predicate | powerUp |
P29028
|
FINISHED |
| Object | Fire Flower |
E167609
|
NE FINISHED |
How this triple was built (2 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: Fire Flower | Statement: [Super Mario Bros. 3, powerUp, Fire Flower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire Flower Context triple: [Super Mario Bros. 3, powerUp, Fire Flower]
-
A.
Fire Flower
chosen
The Fire Flower is a recurring power-up in the Super Mario series that lets Mario throw fireballs to defeat enemies and interact with the environment.
-
B.
The Flower
The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
-
C.
Flower
Flower is the shy, good-natured skunk who befriends Bambi and Thumper in Disney’s 1942 animated film "Bambi."
-
D.
Bellflower
Bellflower is a suburban city in southeastern Los Angeles County, California, known for its residential neighborhoods and proximity to major urban centers in the Los Angeles metropolitan area.
-
E.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983c84688190aa7ed5b8091fb140 |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867ba1b48190a54d00c32b075548 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.