Triple
T16632737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goo Lagoon |
E404115
|
entity |
| Predicate | frequentedBy |
P1097
|
FINISHED |
| Object | Larry the Lobster |
E1224824
|
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: Larry the Lobster | Statement: [Goo Lagoon, frequentedBy, Larry the Lobster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry the Lobster Context triple: [Goo Lagoon, frequentedBy, Larry the Lobster]
-
A.
Larry the Lobster
chosen
Larry the Lobster is a muscular, fitness-obsessed lifeguard character from the animated television series "SpongeBob SquarePants."
-
B.
Tony the Landshark
Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
-
C.
Al the Octopus
Al the Octopus is the official octopus mascot associated with the NHL’s Detroit Red Wings, symbolizing the team’s playoff tradition.
-
D.
Elbee the Shark
Elbee the Shark is the costumed shark mascot representing California State University, Long Beach at athletic events and campus activities.
-
E.
Chumley the Walrus
Chumley the Walrus is a lovable, dim-witted walrus sidekick from the classic animated TV series "Tennessee Tuxedo and His Tales."
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e704c08190a28286ac12165ea5 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b984d081909f76ef874431ff40 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.