Triple
T3537511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mushroom Kingdom |
E74803
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Lakitu |
E311692
|
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: Lakitu | Statement: [Mushroom Kingdom, enemy, Lakitu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakitu Context triple: [Mushroom Kingdom, enemy, Lakitu]
-
A.
Lakitu
chosen
Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
-
B.
Lotso
Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
-
C.
Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
-
D.
Kohunlich
Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
-
E.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc928248190b851f8280d58cfcf |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb8b7fac81908c18d3f868aeba44 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:20 p.m.