Triple

T4943062
Position Surface form Disambiguated ID Type / Status
Subject Clyde Tombaugh E110982 entity
Predicate awardReceived P11 FINISHED
Object Bruce Medal E17796 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: Bruce Medal | Statement: [Clyde Tombaugh, awardReceived, Bruce Medal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Medal
Context triple: [Clyde Tombaugh, awardReceived, Bruce Medal]
  • A. Bruce Medal chosen
    The Bruce Medal is a prestigious award in astronomy given for lifetime contributions to the field.
  • B. Royal Medal
    The Royal Medal is a prestigious scientific award presented by the Royal Society to recognize outstanding contributions to the natural sciences.
  • C. Royal Medal
    The Royal Medal is a prestigious award presented by the Royal Geographical Society to recognize outstanding contributions to geographical science and exploration.
  • D. Banting Medal
    The Banting Medal is the highest scientific honor awarded by the American Diabetes Association for outstanding contributions to diabetes research.
  • E. Victory Medal
    The Victory Medal is a First World War campaign medal awarded to military personnel of the Allied nations who served in the conflict.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70a7650c8190b046b65072fd8eae completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c421288190bcc2d9bfdfff7198 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.