Triple
T12866691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aar |
E307737
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Wigger |
E300454
|
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: Wigger | Statement: [Aar, hasTributary, Wigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wigger Context triple: [Aar, hasTributary, Wigger]
-
A.
Wigger
chosen
Wigger is a river in Switzerland that flows through the Aare basin as one of its tributaries.
-
B.
White God
White God is a 2014 Hungarian drama film directed by Kornél Mundruczó, known for its allegorical story about a girl and her dog amid a violent canine uprising.
-
C.
Ugly Americans
Ugly Americans is an animated comedy television series that follows a social worker for supernatural creatures in a bizarre, monster-filled version of New York City.
-
D.
Ugly Americans
Ugly Americans is a non-fiction book by Ben Mezrich that chronicles the high-risk, high-reward world of American traders operating in Asian financial markets in the 1990s.
-
E.
Bicentennial Nigger
Bicentennial Nigger is a 1976 stand-up comedy album by Richard Pryor that showcases his sharp, politically charged humor about race and American society.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708e0b788190b72a3057e271c227 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af533d188190b9c816cdc892fe99 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:38 p.m.