Triple

T22826679
Position Surface form Disambiguated ID Type / Status
Subject Harrison E565678 entity
Predicate derivedFromGivenName P17 FINISHED
Object Henry
Henry is a traditional and widely used masculine given name of Germanic origin, historically borne by numerous kings and notable figures.
E254557 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: [Harrison, derivedFromGivenName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Harrison, derivedFromGivenName, Henry]
  • A. Henry
    Henry was a French royal prince who served as Archbishop of Reims, a prominent ecclesiastical and political position in medieval France.
  • B. Henry
    Henry "Raleigh" Gordon was an American musician best known as a member of the 1950s doo-wop group The Red Caps.
  • C. Henry
    Henry is the given name of Gotthilf Henry Ernest Muhlenberg, an American Lutheran clergyman and pioneering botanist known for his work in early American plant taxonomy.
  • D. Henry
    Henry is the given first name of H. Frederick Gregory, an American NASA astronaut and former Air Force test pilot.
  • E. Henry
    Henry is the middle name of John Henry Moore, an American politician and jurist who served as a United States federal judge.
  • 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: [Harrison, derivedFromGivenName, Henry]
Generated description
Henry is a traditional and widely used masculine given name of Germanic origin, historically borne by numerous kings and notable figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is a traditional and widely used masculine given name of Germanic origin, historically borne by numerous kings and notable figures.
  • A. Henry chosen
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • B. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • C. Henry
    Henry is the given name of Henry Fitzalan-Howard, 15th Duke of Norfolk, a prominent English nobleman and peer.
  • D. Henry
    Henry is the given name of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
  • E. Henry
    Henry is the given name of Henry Melchior Muhlenberg, a prominent 18th-century Lutheran pastor often regarded as the patriarch of American Lutheranism.
  • F. None of above.

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2832b8819091c1dfd2cd598b90 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7a098488190ac57cf88793a456c completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:34 p.m.