Triple
T10486005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Wells |
E247297
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object | Norby |
E201037
|
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: Norby | Statement: [Jeff Wells, hasCompanion, Norby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norby Context triple: [Jeff Wells, hasCompanion, Norby]
-
A.
Norby
chosen
Norby is a quirky, intelligent robot protagonist from the science fiction series "The Norby Chronicles" created by Janet and Isaac Asimov.
-
B.
Nordy
Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
-
C.
Fedje
Fedje is a small island municipality off the western coast of Norway, known for its fishing heritage and scenic North Sea landscapes.
-
D.
Norval
Norval is a small historic village in Ontario, Canada, known for its scenic Credit River setting and association with author Lucy Maud Montgomery.
-
E.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096988ec81908d7518b09256c145 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc7fc0cc8190922b7b783d37f542 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.