Triple

T23218236
Position Surface form Disambiguated ID Type / Status
Subject Henry W. Slocum E580809 entity
Predicate givenName P17 FINISHED
Object Henry
Henry is the given name of Henry W. Slocum, a notable Union general in the American Civil War.
E1573233 NE FINISHED

How this triple was built (4 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 W. Slocum, givenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Henry W. Slocum, givenName, Henry]
  • A. Henry
    Henry is the given name of Henry Fox, 1st Baron Holland, an influential 18th-century British Whig politician and statesman.
  • B. Henry
    Henry was the given name of Henry III of Navarre, who later became King Henry IV of France and is known for initiating the Bourbon dynasty.
  • C. Henry
    Henry is the given first name of British film director Ken Russell, known for his flamboyant and controversial movies.
  • D. Henry
    Henry was the given name of Henry of Aragon, Duke of Villena, a medieval Spanish nobleman and scholar.
  • E. Henry
    Henry is the middle name of Robert Henry Codrington, a 19th-century Anglican missionary and ethnographer known for his work in Melanesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Henry
Triple: [Henry W. Slocum, givenName, Henry]
Generated description
Henry is the given name of Henry W. Slocum, a notable Union general in the American Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is the given name of Henry W. Slocum, a notable Union general in the American Civil War.
  • A. Henry
    Henry is the middle name of George H. Thomas, a prominent Union general during the American Civil War.
  • B. Henry
    Henry is the middle name of William H. French, a 19th-century United States Army officer and Civil War general.
  • C. 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.
  • D. Henry
    Henry is the middle name of John H. Winder, a Confederate general and prison administrator during the American Civil War.
  • E. Henry
    Henry is the given name of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
  • F. None of above. chosen

Provenance (5 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916653f08190a7dcbc659c6b6a25 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30aa91488190a115f3a44ff25348 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c326f3b4c819099ea8776b84fa279 completed May 19, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.