Triple

T15010566
Position Surface form Disambiguated ID Type / Status
Subject Hetty E377823 entity
Predicate etymologicalRoot P453 FINISHED
Object Henry E254557 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: Henry | Statement: [Hetty, etymologicalRoot, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Hetty, etymologicalRoot, Henry]
  • A. Henry chosen
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • B. Henry
    Henry is the given name of Henry Nottidge Moseley, a 19th-century English naturalist and professor known for his work in zoology and participation in the Challenger expedition.
  • C. Henry
    Henry is the vehicle registration code used on license plates to identify Henry County in the state of Indiana.
  • D. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • E. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded734943481908dad4ceed4fe850c completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.