Triple
T21872207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badger |
E540033
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | One Live Badger |
—
|
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: One Live Badger | Statement: [Badger, notableWork, One Live Badger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Live Badger Context triple: [Badger, notableWork, One Live Badger]
-
A.
One Live Badger
chosen
One Live Badger is a documentary film by director Tony Kaye that chronicles his unconventional and often chaotic efforts to complete and release his long-delayed movie "Black Water Transit."
-
B.
Buckaroos
Buckaroos were the backing band for country artist Buck Owens, known for helping define the Bakersfield sound in the 1960s.
-
C.
Hunting Badger
"Hunting Badger" is a crime novel by Tony Hillerman featuring Navajo Tribal Police officers in a mystery rooted in Native American culture and the landscapes of the American Southwest.
-
D.
Hog Wild
"Hog Wild" is a 1930 Laurel and Hardy comedy short film featuring James Finlayson in a supporting role.
-
E.
Chip the Buffalo
Chip the Buffalo is the costumed live mascot who represents the University of Colorado Boulder’s athletic teams, energizing crowds at games and events.
- 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.