Triple

T9080298
Position Surface form Disambiguated ID Type / Status
Subject Shannon MacVean-Brown E217601 entity
Predicate givenName P17 FINISHED
Object Shannon E3529 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: Shannon | Statement: [Shannon MacVean-Brown, givenName, Shannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shannon
Context triple: [Shannon MacVean-Brown, givenName, Shannon]
  • A. Shannon chosen
    Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
  • B. Shannon
    Shannon is a small rural town in the Manawatū-Whanganui region of New Zealand’s North Island.
  • C. Shannons
    Shannons is an Australian insurance company best known for providing specialist car and motorcycle insurance, particularly for motoring enthusiasts and classic vehicle owners.
  • D. Vinton
    Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
  • E. Vinton
    Vinton is a small village in western Texas, located near the city of El Paso and the U.S.–Mexico border.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.