Triple
T20085474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flav Giorgini |
E500115
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Squirtgun |
—
|
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: Squirtgun | Statement: [Flav Giorgini, associatedWith, Squirtgun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squirtgun Context triple: [Flav Giorgini, associatedWith, Squirtgun]
-
A.
Squirtgun
chosen
Squirtgun is an American punk rock band known for its melodic sound and connections to the 1990s pop-punk scene.
-
B.
Water Gun
Water Gun is a basic Water-type attack in the Pokémon series that fires a stream of water to damage opponents.
-
C.
Supersoaker
"Supersoaker" is a 2013 rock single by American band Kings of Leon, known for its energetic sound and nostalgic, retro-themed music video.
-
D.
Squirt
Squirt is a playful young sea turtle from Disney-Pixar's "Finding Nemo," known for his energetic personality and close bond with his father, Crush.
-
E.
Squirt
Squirt was an 18th-century British Thoroughbred stallion best known as a pivotal foundation sire in modern racehorse bloodlines.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ae9ec8190bde2f17452639de8 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.