Triple
T9953829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lard Lad Donuts |
E195395
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Lard Lad |
E830978
|
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: Lard Lad | Statement: [Lard Lad Donuts, hasMascot, Lard Lad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lard Lad Context triple: [Lard Lad Donuts, hasMascot, Lard Lad]
-
A.
Lard Lad
chosen
Lard Lad is the giant, smiling boy mascot from The Simpsons universe, known for holding a massive donut above his head outside the fictional Lard Lad Donuts shop.
-
B.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
-
C.
Big Lug
Big Lug is the costumed mascot character for the Lansing Lugnuts minor league baseball team, known for entertaining fans at games and community events.
-
D.
Nibbler
Nibbler is a small, seemingly cute but incredibly ancient and powerful alien creature from the animated series Futurama.
-
E.
Wanchope
Wanchope is a Costa Rican surname best known from former professional footballer and manager Paulo Wanchope, a prominent striker for club and country in the late 1990s and early 2000s.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb694b95481909d049302818e7137 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d6743c481908a2040eb9d260b4a |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:46 p.m.