Triple
T7289090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam & Cat |
E163946
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Cat Valentine |
E163944
|
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: Cat Valentine | Statement: [Sam & Cat, character, Cat Valentine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Valentine Context triple: [Sam & Cat, character, Cat Valentine]
-
A.
Cat Valentine
chosen
Cat Valentine is a bubbly, sweet but ditzy red-haired teen character from the Nickelodeon series "Victorious" and its spin-off "Sam & Cat."
-
B.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
-
C.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
D.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
E.
Thomas O'Malley Cat
"Thomas O'Malley Cat" is a jazzy character song from Disney's animated film *The Aristocats*, introducing the charming alley cat Thomas O'Malley.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedfa4d08190997a692b81309309 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3 p.m.