Triple

T5720253
Position Surface form Disambiguated ID Type / Status
Subject Sarah Winston Syme E126125 entity
Predicate spouse P13 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: [Sarah Winston Syme, spouse, John Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Henry
Context triple: [Sarah Winston Syme, spouse, 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e328e08190a67e845b296e34e9 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07df49eb881908189fc8afb2ed478 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:46 p.m.