Triple
T19176368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Football League mascots |
E469446
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | Chomps |
—
|
NE NERFINISHED |
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: Chomps | Statement: [National Football League mascots, hasExample, Chomps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chomps Context triple: [National Football League mascots, hasExample, Chomps]
-
A.
Chomps
chosen
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
B.
Chompers
Chompers is one of the official mascots of the Hartford Yard Goats minor league baseball team, known for entertaining fans at games with playful antics and team spirit.
-
C.
Muncher
Muncher is a small, black, spiked, plant-like enemy from the Super Mario series that is typically stationary and indestructible by most conventional attacks.
-
D.
Chew Chew
Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
-
E.
Nibbles
Nibbles is the central character of the story "HouseBroken," around whom the main plot and events revolve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6181f0c8190b344072db0b7abbb |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.