Triple

T10272609
Position Surface form Disambiguated ID Type / Status
Subject Hair Buyer Hamilton E240874 entity
Predicate hasGivenName 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: [Hair Buyer Hamilton, hasGivenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Hair Buyer Hamilton, hasGivenName, 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 first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • C. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • D. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • E. Henry chosen
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c9c6524819094d42e948c96207e completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:36 a.m.