Triple

T12748279
Position Surface form Disambiguated ID Type / Status
Subject Henry family E304663 entity
Predicate hasSurname P18 FINISHED
Object Henry E221748 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 family, hasSurname, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Henry family, hasSurname, 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
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry chosen
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • D. Henry
    Henry is a character who serves as the narrator in the 1933 film "The Power and the Glory," providing the story’s perspective and framing its events.
  • E. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684eba2508190966d084cc21dc1ea completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.