Triple

T14965671
Position Surface form Disambiguated ID Type / Status
Subject AHA prizes and awards E373181 entity
Predicate includes P1393 FINISHED
Object George Louis Beer Prize E989619 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: George Louis Beer Prize | Statement: [AHA prizes and awards, includes, George Louis Beer Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Louis Beer Prize
Context triple: [AHA prizes and awards, includes, George Louis Beer Prize]
  • A. George Louis Beer Prize chosen
    The George Louis Beer Prize is a prestigious annual award recognizing outstanding scholarly work in European international history.
  • B. Sedgwick Prize
    The Sedgwick Prize is a geological science award named in honor of 19th-century British geologist Adam Sedgwick.
  • C. John Scott Medal
    The John Scott Medal is a prestigious scientific and engineering award given to inventors whose innovations have significantly benefited humanity.
  • D. Ferrier Medal
    The Ferrier Medal is a prestigious scientific award presented by the Royal Society for outstanding contributions to the field of neuroscience.
  • E. Hessell-Tiltman Prize
    The Hessell-Tiltman Prize is a British literary award given annually for outstanding works of historical non-fiction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be122688190b20fe4450786158a completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:47 a.m.