Triple

T17110606
Position Surface form Disambiguated ID Type / Status
Subject Thomas Henry Ismay E415214 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: [Thomas Henry Ismay, givenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Thomas Henry Ismay, givenName, Henry]
  • A. 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.
  • B. Henry chosen
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • C. Henry
    Henry is the disturbed serial killer protagonist of the cult horror film "Henry: Portrait of a Serial Killer," portrayed by Michael Rooker.
  • D. Henry
    Henry is the given name of Henry W. Lawton, a distinguished United States Army officer and Medal of Honor recipient known for his service in the American Civil War, Indian Wars, and Spanish–American War.
  • E. Henry
    Henry is the protagonist of the romantic comedy film "The First Time," around whom the story’s coming-of-age relationship and emotional growth revolve.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2a7f2c81908eb19594b6accab7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014145f7988190803d5c5e4f2705b0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.