Triple

T30253450
Position Surface form Disambiguated ID Type / Status
Subject 1950 French Annapurna expedition E769271 entity
Predicate member P10 FINISHED
Object Francis de Noyelle
Francis de Noyelle was a French mountaineer known for participating in major mid-20th-century Himalayan expeditions.
 E1913490 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: Francis de Noyelle | Statement: [1950 French Annapurna expedition, member, Francis de Noyelle]
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: Francis de Noyelle
Triple: [1950 French Annapurna expedition, member, Francis de Noyelle]
Generated description
Francis de Noyelle was a French mountaineer known for participating in major mid-20th-century Himalayan expeditions.

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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6807d23cc819094279e32d55ea1b8 completed May 2, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27892984148190ae2796334b66873c completed June 9, 2026, 3:31 a.m.
NEDg Description generation batch_6a2789db54048190ab54d623ce1d4e2a completed June 9, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_6a278a76f450819095acd3e2b23d2b73 completed June 9, 2026, 3:37 a.m.
Created at: April 29, 2026, 7:40 p.m.