Triple
T20164729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private the Penguin |
E491798
|
entity |
| Predicate | hasTeamMember |
P7184
|
FINISHED |
| Object | Kowalski |
—
|
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: Kowalski | Statement: [Private the Penguin, hasTeamMember, Kowalski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kowalski Context triple: [Private the Penguin, hasTeamMember, Kowalski]
-
A.
Kowalski
Kowalski is a surname of Polish origin commonly used in Poland and among Polish diaspora communities.
-
B.
Kowalski
chosen
Kowalski is the intelligent, analytically minded penguin from the "Madagascar" franchise, known for serving as the team's strategist and inventor.
-
C.
Jacob Kowalski
Jacob Kowalski is a kind-hearted No-Maj baker who becomes a close friend and ally to Newt Scamander in the Fantastic Beasts film series.
-
D.
Kowarski
Kowarski is a surname most notably associated with Lew Kowarski, a pioneering physicist in the development of nuclear reactors and early nuclear research in Europe.
-
E.
Mr. Rzykruski
Mr. Rzykruski is the eccentric science teacher from Tim Burton’s animated film "Frankenweenie," known for his unconventional methods and strong belief in scientific curiosity.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.