Triple
T21872201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badger |
E540033
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Brian Parrish |
—
|
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: Brian Parrish | Statement: [Badger, hasFormerMember, Brian Parrish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Parrish Context triple: [Badger, hasFormerMember, Brian Parrish]
-
A.
Brian Parrish
chosen
Brian Parrish is a member of the band Badger, known for its work in the progressive rock scene of the 1970s.
-
B.
Alan Parrish
Alan Parrish is the adventurous boy-turned-man trapped for decades inside a magical, dangerous board game in the fantasy film "Jumanji."
-
C.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
D.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
E.
Edward Pawley
Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
- 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.