Triple
T13120199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Land |
E311699
|
entity |
| Predicate | hasEnemyType |
P15619
|
FINISHED |
| Object | Blooper |
E1022811
|
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: Blooper | Statement: [Ice Land, hasEnemyType, Blooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blooper Context triple: [Ice Land, hasEnemyType, Blooper]
-
A.
Blooper
Blooper is the fuzzy, energetic costumed mascot of Major League Baseball’s Atlanta Braves, known for entertaining fans with comedic antics at games.
-
B.
Blooper
chosen
Blooper is a recurring squid-like enemy from the Super Mario video game series, typically found underwater and known for its erratic swimming patterns.
-
C.
Elbee the Shark
Elbee the Shark is the costumed shark mascot representing California State University, Long Beach at athletic events and campus activities.
-
D.
Slimey the Worm
Slimey the Worm is Oscar the Grouch’s friendly pet worm on Sesame Street, known for his curious and kind-hearted personality.
-
E.
Nibbler
Nibbler is a small, seemingly cute but incredibly ancient and powerful alien creature from the animated series Futurama.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.