Triple

T2247537
Position Surface form Disambiguated ID Type / Status
Subject Dora Sigerson Shorter E49540 entity
Predicate familyName P18 FINISHED
Object Shorter E8724 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: Shorter | Statement: [Dora Sigerson Shorter, familyName, Shorter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shorter
Context triple: [Dora Sigerson Shorter, familyName, Shorter]
  • A. Shorter chosen
    Shorter is a surname of English origin borne by various notable individuals across different fields.
  • B. K-short
    K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
  • C. Shorter Rules
    Shorter Rules is a foundational monastic text by Basil of Caesarea that outlines concise guidelines for communal Christian ascetic life.
  • D. Concise
    Concise is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
  • E. Short 184
    The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c1edd081909acbb8b1915ce0d6 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.