Triple

T30253446
Position Surface form Disambiguated ID Type / Status
Subject 1950 French Annapurna expedition E769271 entity
Predicate member P10 FINISHED
Object Gaston Rébuffat
Gaston Rébuffat was a renowned French alpinist, mountain guide, and author celebrated for his pioneering climbs in the Alps and his influential mountaineering writings and films.
E2294953 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: Gaston Rébuffat | Statement: [1950 French Annapurna expedition, member, Gaston Rébuffat]
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: Gaston Rébuffat
Triple: [1950 French Annapurna expedition, member, Gaston Rébuffat]
Generated description
Gaston Rébuffat was a renowned French alpinist, mountain guide, and author celebrated for his pioneering climbs in the Alps and his influential mountaineering writings and films.

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_6a7c4919c8d881909eee5cd61e6055c1 completed Aug. 12, 2026, 10:21 a.m.
NEDg Description generation batch_6a7c49a7f42c819088cdac78be9a038d completed Aug. 12, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a7c5625976081909c92967f801438a0 completed Aug. 12, 2026, 11:16 a.m.
Created at: April 29, 2026, 7:40 p.m.