Triple
T4925323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nch’ḵay̓ |
E110561
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
A. Dalton
A. Dalton is a mountaineer known for making the first recorded ascent of Nch’ḵay̓ (also known as Mount Garibaldi) in British Columbia, Canada.
|
E480272
|
NE FINISHED |
How this triple was built (4 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: A. Dalton | Statement: [Nch’ḵay̓, firstAscentBy, A. Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. Dalton Context triple: [Nch’ḵay̓, firstAscentBy, A. Dalton]
-
A.
Henry Dalton
Henry Dalton is a character in the television series "Hart of Dixie," known primarily as a romantic interest of Lemon Breeland.
-
B.
John Watts
John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
-
C.
George Smith Blake
George Smith Blake was a United States Navy officer after whom Blake Island in Washington State was named.
-
D.
Edward Mills
Edward Mills was a British architect known for designing the International Maritime Organization (IMO) Headquarters in London.
-
E.
Henry Van Brunt
Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A. Dalton Triple: [Nch’ḵay̓, firstAscentBy, A. Dalton]
Generated description
A. Dalton is a mountaineer known for making the first recorded ascent of Nch’ḵay̓ (also known as Mount Garibaldi) in British Columbia, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A. Dalton Target entity description: A. Dalton is a mountaineer known for making the first recorded ascent of Nch’ḵay̓ (also known as Mount Garibaldi) in British Columbia, Canada.
-
A.
Henry Dalton
Henry Dalton is a character in the television series "Hart of Dixie," known primarily as a romantic interest of Lemon Breeland.
-
B.
John Watts
John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
-
C.
George Smith Blake
George Smith Blake was a United States Navy officer after whom Blake Island in Washington State was named.
-
D.
Edward Mills
Edward Mills was a British architect known for designing the International Maritime Organization (IMO) Headquarters in London.
-
E.
Henry Van Brunt
Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
- F. None of above. chosen
Provenance (5 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7033c430819088e62f14979aa83c |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77a9dff481908c7f525f233d9bce |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be781aa8648190a58587e6f3e04e11 |
completed | March 21, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be78a0bdc88190bd8458658f15f879 |
completed | March 21, 2026, 10:53 a.m. |
Created at: March 20, 2026, 1:30 p.m.