Triple

T29645893
Position Surface form Disambiguated ID Type / Status
Subject Great White Throne E755995 entity
Predicate firstAscentBy P1321 FINISHED
Object Charles Dutton
Charles Dutton was an early mountaineer notable for pioneering ascents in the American West, including the first recorded climb of Great White Throne in Zion National Park.
E1878498 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: Charles Dutton | Statement: [Great White Throne, firstAscentBy, Charles Dutton]
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: Charles Dutton
Triple: [Great White Throne, firstAscentBy, Charles Dutton]
Generated description
Charles Dutton was an early mountaineer notable for pioneering ascents in the American West, including the first recorded climb of Great White Throne in Zion National Park.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66ed30a4081908a4d3cf0fa9b6ffc completed May 2, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267eb0768481908d8c002684f523a3 completed June 8, 2026, 8:34 a.m.
NEDg Description generation batch_6a26829c7dd08190bb73080b8b53a01f completed June 8, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2686a5e49481909dbbfb8ef71556bd completed June 8, 2026, 9:08 a.m.
Created at: April 28, 2026, 6:49 p.m.