Triple

T6890836
Position Surface form Disambiguated ID Type / Status
Subject John Henry Blunt E159039 entity
Predicate givenName P17 FINISHED
Object John Henry E126125 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: John Henry | Statement: [John Henry Blunt, givenName, John Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Henry
Context triple: [John Henry Blunt, givenName, John Henry]
  • A. John Henry chosen
    John Henry was a Virginia planter and surveyor best known as the father of American Revolutionary orator and statesman Patrick Henry.
  • B. John Henry
    John Henry is a traditional American folk ballad about a legendary steel-driving man who battles a steam drill, symbolizing human strength and resistance against industrialization.
  • C. John Henry
    John Henry was one of the early New York financiers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • D. John Henry Kagi
    John Henry Kagi was an abolitionist and close associate of John Brown who served as a key lieutenant and strategist in the lead-up to the 1859 Harpers Ferry raid.
  • E. John Henry Brodribb
    John Henry Brodribb, better known as Sir Henry Irving, was a renowned 19th-century English stage actor and the first actor to be knighted.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92d45f08190a730b3842c95b521 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748d16e5c81909e35db99af5cfa51 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.