Triple

T10115159
Position Surface form Disambiguated ID Type / Status
Subject Herbert Gladstone E218338 entity
Predicate givenName P17 FINISHED
Object Herbert E769 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: Herbert | Statement: [Herbert Gladstone, givenName, Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert
Context triple: [Herbert Gladstone, givenName, Herbert]
  • A. Herbert
    Herbert is an Australian federal electoral division in Queensland that includes areas such as Magnetic Island and parts of the city of Townsville.
  • B. Herbert chosen
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Hubert
    Hubert is a masculine given name of Germanic origin meaning "bright heart" or "shining intellect," historically borne by saints, nobles, and notable public figures.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd161831c81908bb3c77caa7c3ce1 completed April 2, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc2b00488190acca51a797beed45 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.