Triple

T9228381
Position Surface form Disambiguated ID Type / Status
Subject Henry E221748 entity
Predicate hasVariant P455 FINISHED
Object Henrie E104689 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: Henrie | Statement: [Henry, hasVariant, Henrie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrie
Context triple: [Henry, hasVariant, Henrie]
  • A. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • B. Heinie
    Heinie was the nickname of Heinie Zimmerman, an early 20th-century American Major League Baseball third baseman known for his strong hitting and involvement in a notorious game-fixing scandal.
  • C. Hendrik chosen
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • D. Herman
    Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
  • E. Herman
    Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0665cd43481908287b6d4858d63a1 completed April 4, 2026, 1:16 a.m.
Created at: March 30, 2026, 7:29 p.m.