Triple

T22258491
Position Surface form Disambiguated ID Type / Status
Subject Gorden Tallis E550154 entity
Predicate givenName P17 FINISHED
Object Gorden NE NERFINISHED

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: Gorden | Statement: [Gorden Tallis, givenName, Gorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorden
Context triple: [Gorden Tallis, givenName, Gorden]
  • A. Gorden chosen
    Gorden is a masculine given name, notably borne by former Australian rugby league footballer Gorden Tallis.
  • B. Gardon
    The Gardon is a river in southern France known for flowing through the Gard department and beneath the famous Pont du Gard Roman aqueduct.
  • C. Gardi
    Gardi is the nickname of Ibrahim Khan Gardi, an 18th-century Indian military commander renowned for leading artillery forces in the Third Battle of Panipat.
  • D. Gordon
    Gordon is a residential suburb located within the Brindabella region of the Australian Capital Territory.
  • E. Gordon
    Gordon is a Jewish surname notably borne by the 19th-century Hebrew poet and Enlightenment figure Judah Leib Gordon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.