Triple
T9576730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seas with Nemo & Friends |
E231063
|
entity |
| Predicate | usesCharactersFrom |
P29709
|
FINISHED |
| Object | Squirt |
E232220
|
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: Squirt | Statement: [The Seas with Nemo & Friends, usesCharactersFrom, Squirt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squirt Context triple: [The Seas with Nemo & Friends, usesCharactersFrom, Squirt]
-
A.
Squirt
chosen
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.
-
B.
Squiggy
Squiggy is a quirky, nasally voiced neighbor known for his comedic entrances and antics on the sitcom "Laverne & Shirley."
-
C.
Squirtgun
Squirtgun is an American punk rock band known for its melodic sound and connections to the 1990s pop-punk scene.
-
D.
Splott
Splott is a residential and industrial district in the city of Cardiff, Wales, known for its working-class heritage and proximity to the city centre and docks.
-
E.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152c3f1e8819099f3f9d0f1d2d7b3 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:05 p.m.