Triple

T31128301
Position Surface form Disambiguated ID Type / Status
Subject 1954 FIS Alpine World Ski Championships E793419 entity
Predicate notableCompetitor P11706 FINISHED
Object Andrea Mead Lawrence
Andrea Mead Lawrence was a pioneering American alpine ski racer and two-time Olympic gold medalist who became one of the sport’s early female stars.
E1952848 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: Andrea Mead Lawrence | Statement: [1954 FIS Alpine World Ski Championships, notableCompetitor, Andrea Mead Lawrence]
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: Andrea Mead Lawrence
Triple: [1954 FIS Alpine World Ski Championships, notableCompetitor, Andrea Mead Lawrence]
Generated description
Andrea Mead Lawrence was a pioneering American alpine ski racer and two-time Olympic gold medalist who became one of the sport’s early female stars.

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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6973d98508190bb63caf9c1bdc2b1 completed May 3, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296bccbd248190b5d04f0ccfec6f52 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296ebe9ee88190b4c3f4e0e135322f completed June 10, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_6a299b52e0d48190ada08752bc23ead6 completed June 10, 2026, 5:13 p.m.
Created at: April 29, 2026, 9:05 p.m.