Triple

T17087483
Position Surface form Disambiguated ID Type / Status
Subject Lyndon Henry E414635 entity
Predicate familyName P18 FINISHED
Object Henry
Henry is a common English surname of Old French and Germanic origin, historically associated with numerous notable figures including kings, politicians, and artists.
E221748 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: [Lyndon Henry, familyName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Lyndon Henry, familyName, 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: [Lyndon Henry, familyName, Henry]
Generated description
Henry is a common English surname of Old French and Germanic origin, historically associated with numerous notable figures including kings, politicians, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is a common English surname of Old French and Germanic origin, historically associated with numerous notable figures including kings, politicians, and artists.
  • A. Henry chosen
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • B. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • C. 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.
  • 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 Nottidge Moseley, a 19th-century English naturalist and professor known for his work in zoology and participation in the Challenger expedition.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eda04d08190b450fbfc6ccb9054 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01306334088190b6199b9bdd728c3c completed May 11, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a01343b21508190bd8dc59765ec7f78 completed May 11, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:35 a.m.