Triple

T30268
Position Surface form Disambiguated ID Type / Status
Subject Hugh Dowding E604 entity
Predicate givenName P17 FINISHED
Object Hugh
Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
 E20500 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: Hugh | Statement: [Hugh Dowding, givenName, Hugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hugh
Context triple: [Hugh Dowding, givenName, Hugh]
  • A. 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.
  • B. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Christopher
    Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
  • E. Edward
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • 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: Hugh
Triple: [Hugh Dowding, givenName, Hugh]
Generated description
Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hugh
Target entity description: Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • A. 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.
  • B. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Christopher
    Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
  • E. Edward
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24876ada48190b366ba8b9320ebb0 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db4f527c819094ab6b1705358022 completed Feb. 28, 2026, 12:10 p.m.
NEDg Description generation batch_69a2dbe74360819088144588457c40f6 completed Feb. 28, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69a2dca71f0c819091bffb34a2dc0b90 completed Feb. 28, 2026, 12:16 p.m.
Created at: Feb. 28, 2026, 1:44 a.m.