Triple
T18015769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle |
E430994
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | bjoern |
—
|
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: bjoern | Statement: [Bottle, supports, bjoern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bjoern Context triple: [Bottle, supports, bjoern]
-
A.
Bjørn
Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
-
B.
Bjug
Bjug is a masculine given name of Scandinavian origin, most notably borne by Norwegian-American Lutheran educator and college founder Bjug Harstad.
-
C.
Björn
chosen
Björn is a Scandinavian male given name of Old Norse origin, commonly associated with the meaning "bear."
-
D.
Bigfoot Bjornsen
Bigfoot Bjornsen is a hard-nosed, eccentric LAPD detective who serves as both foil and uneasy ally to stoner private investigator Doc Sportello in Thomas Pynchon’s novel *Inherent Vice*.
-
E.
Bente Bro
Bente Bro is a Danish woman best known for being married to acclaimed filmmaker Lars von Trier.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.