Triple

T16222208
Position Surface form Disambiguated ID Type / Status
Subject Henderson E393755 entity
Predicate hasGivenNameRoot P31098 FINISHED
Object Henry
Henry is a traditional male given name of Germanic origin, historically borne by numerous kings and notable figures across Europe.
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: [Henderson, hasGivenNameRoot, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Henderson, hasGivenNameRoot, Henry]
  • A. John
    John R. Klauder is an American theoretical physicist known for his contributions to quantum field theory, coherent states, and functional analysis.
  • B. John
    John is the given name of John Fletcher Hurst, an American Methodist bishop and theologian known for his contributions to religious scholarship in the 19th century.
  • C. John
    John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
  • D. John
    John is the given name of John Campbell, 9th Duke of Argyll, a prominent 19th-century Scottish peer and Liberal politician.
  • E. John
    John is the given name of American actor and voice artist John Ratzenberger, best known for playing Cliff Clavin on Cheers and voicing characters in Pixar films.
  • 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: [Henderson, hasGivenNameRoot, Henry]
Generated description
Henry is a traditional male given name of Germanic origin, historically borne by numerous kings and notable figures across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is a traditional male given name of Germanic origin, historically borne by numerous kings and notable figures across Europe.
  • 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 Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
  • D. 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.
  • E. Henry
    Henry is the given name of the historical figure known as "The Natick Cobbler," a notable shoemaker associated with Natick, Massachusetts.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f87bd588190afb91d21eebd00e3 completed May 10, 2026, 6:02 a.m.
NEDg Description generation batch_6a00207849608190a767108a5df6ad44 completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0020f37ec08190be6834347dba3455 completed May 10, 2026, 6:08 a.m.
Created at: April 10, 2026, 5:03 a.m.