Triple

T10251663
Position Surface form Disambiguated ID Type / Status
Subject William Hague E240357 entity
Predicate middleName P143 FINISHED
Object Jefferson
Jefferson is the middle name of British Conservative politician and former Foreign Secretary William Hague.
 E854853 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: Jefferson | Statement: [William Hague, middleName, Jefferson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jefferson
Context triple: [William Hague, middleName, Jefferson]
  • A. Jefferson
    Jefferson is a small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
  • B. Jefferson
    Jefferson is a domestic cat known by the given name "Jefferson."
  • C. Jefferson
    Jefferson is the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
  • D. Jefferson
    Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
  • E. Jefferson
    Jefferson is the family name of Stan Laurel, the famed English comic actor and one half of the legendary film duo Laurel and Hardy.
  • 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: Jefferson
Triple: [William Hague, middleName, Jefferson]
Generated description
Jefferson is the middle name of British Conservative politician and former Foreign Secretary William Hague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jefferson
Target entity description: Jefferson is the middle name of British Conservative politician and former Foreign Secretary William Hague.
  • A. Jefferson
    Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
  • B. Jefferson
    Jefferson is a prominent American surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
  • C. Jefferson
    Jefferson is the family name of Stan Laurel, the famed English comic actor and one half of the legendary film duo Laurel and Hardy.
  • D. Jefferson
    Jefferson is a domestic cat known by the given name "Jefferson."
  • E. Jefferson
    Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23e39988190b75c6421b85d430d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cc82110819095fb77eb964d23bd completed April 9, 2026, 3:28 a.m.
NEDg Description generation batch_69d73180d90481908f1b4768230edd36 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7326b14988190bff33dc01e690707 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:29 a.m.