Triple

T16349015
Position Surface form Disambiguated ID Type / Status
Subject Henry Somerset, 2nd Duke of Beaufort E397009 entity
Predicate givenName P17 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: [Henry Somerset, 2nd Duke of Beaufort, givenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Henry Somerset, 2nd Duke of Beaufort, givenName, 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 a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da10ef64819092633e8b32e98f5d completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dabc89481908005f5b2060abded completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.