Triple
T21872205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badger |
E540033
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Paul Pilnick |
—
|
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: Paul Pilnick | Statement: [Badger, hasFormerMember, Paul Pilnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Pilnick Context triple: [Badger, hasFormerMember, Paul Pilnick]
-
A.
Paul Pilnick
chosen
Paul Pilnick is a member of the Badger organization, likely contributing to its activities or governance.
-
B.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
C.
Robert Carlock
Robert Carlock is an American television writer and producer best known for his long-running creative partnership with Tina Fey on acclaimed comedy series such as "30 Rock" and "Unbreakable Kimmy Schmidt."
-
D.
Erik Pauly
Erik Pauly is a German local politician who serves as the mayor of the town of Donaueschingen in Baden-Württemberg.
-
E.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f3368d488190a37224b587858ab0 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:59 p.m.