Triple

T900146
Position Surface form Disambiguated ID Type / Status
Subject Róbert E19427 entity
Predicate relatedName P3889 FINISHED
Object Rupert E74177 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: Rupert | Statement: [Róbert, relatedName, Rupert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert
Context triple: [Róbert, relatedName, Rupert]
  • A. Rupert chosen
    Rupert is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by various notable figures.
  • B. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • C. Griffin
    The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
  • D. Griffin
    Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
  • E. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c734e680819098840e9c736b5ead completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.