Triple
T17206718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrier (Dakelh) |
E417621
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Carrier |
E1044716
|
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: Carrier | Statement: [Carrier (Dakelh), ethnonym, Carrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrier Context triple: [Carrier (Dakelh), ethnonym, Carrier]
-
A.
Carrier
Carrier is a leading global brand specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
-
B.
Carrier
chosen
Carrier are an Indigenous First Nations people of central interior British Columbia, Canada, with their own distinct Dakelh language and cultural traditions.
-
C.
Carrier
Carrier is a surname of English and French origin borne by various notable individuals across history.
-
D.
Carry
Carry is the given name of Carry Nation, the American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
-
E.
Carriers
Carriers is a 2009 post-apocalyptic horror film about a group of friends struggling to survive a deadly viral pandemic.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc193488190a2c5a48ce7f631a9 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fde8ba08190ae88dc9ea3366a68 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.