Triple
T6353392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wedge Mountain |
E142930
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Don Munday
Don Munday was a Canadian mountaineer and explorer renowned for his pioneering climbs and exploration of the Coast Mountains of British Columbia.
|
E615871
|
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: Don Munday | Statement: [Wedge Mountain, firstAscentBy, Don Munday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Munday Context triple: [Wedge Mountain, firstAscentBy, Don Munday]
-
A.
Brian Morris
Brian Morris is an American jurist who serves as the Chief Judge of the United States District Court for the District of Montana and is known for his federal judicial service in that state.
-
B.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
E.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
- 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: Don Munday Triple: [Wedge Mountain, firstAscentBy, Don Munday]
Generated description
Don Munday was a Canadian mountaineer and explorer renowned for his pioneering climbs and exploration of the Coast Mountains of British Columbia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Munday Target entity description: Don Munday was a Canadian mountaineer and explorer renowned for his pioneering climbs and exploration of the Coast Mountains of British Columbia.
-
A.
Brian Morris
Brian Morris is an American jurist who serves as the Chief Judge of the United States District Court for the District of Montana and is known for his federal judicial service in that state.
-
B.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
E.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70add5a788190a2b16839659f662b |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70d0cf5248190b946387f8b0d7278 |
completed | March 27, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d3b567c8190bfbc205d55926824 |
completed | March 27, 2026, 11:05 p.m. |
Created at: March 22, 2026, 4:31 p.m.