Triple

T9228383
Position Surface form Disambiguated ID Type / Status
Subject Henry E221748 entity
Predicate hasVariant P455 FINISHED
Object Hendry
Hendry is a surname and given name of Scottish origin, often considered a variant of "Henry."
 E785112 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: Hendry | Statement: [Henry, hasVariant, Hendry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hendry
Context triple: [Henry, hasVariant, Hendry]
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • C. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • 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: Hendry
Triple: [Henry, hasVariant, Hendry]
Generated description
Hendry is a surname and given name of Scottish origin, often considered a variant of "Henry."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hendry
Target entity description: Hendry is a surname and given name of Scottish origin, often considered a variant of "Henry."
  • A. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • B. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • C. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0665cd43481908287b6d4858d63a1 completed April 4, 2026, 1:16 a.m.
NEDg Description generation batch_69d06772c0508190883b22974ec09155 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d067cab3a4819086a464f36a8adb3a completed April 4, 2026, 1:22 a.m.
Created at: March 30, 2026, 7:29 p.m.