Triple

T383199
Position Surface form Disambiguated ID Type / Status
Subject Wayne Shorter E8724 entity
Predicate hasFamilyName 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: [Wayne Shorter, hasFamilyName, Shorter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shorter
Context triple: [Wayne Shorter, hasFamilyName, Shorter]
  • A. Shorter chosen
    Shorter is a surname of English origin borne by various notable individuals across different fields.
  • B. 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.
  • C. Short Cuts
    Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
  • D. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • E. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe9418348190a1ffb3fd3e3f8048 completed March 1, 2026, 8:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.