Triple

T15209443
Position Surface form Disambiguated ID Type / Status
Subject George Hastings, 1st Earl of Huntingdon (second creation) E363475 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George Hastings, 1st Earl of Huntingdon of the second creation, an English nobleman of the Tudor period.
E1143775 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: George | Statement: [George Hastings, 1st Earl of Huntingdon (second creation), givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George Hastings, 1st Earl of Huntingdon (second creation), givenName, George]
  • A. George
    George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
  • B. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • C. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • D. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • E. George
    George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
  • 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: George
Triple: [George Hastings, 1st Earl of Huntingdon (second creation), givenName, George]
Generated description
George is the given name of George Hastings, 1st Earl of Huntingdon of the second creation, an English nobleman of the Tudor period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the given name of George Hastings, 1st Earl of Huntingdon of the second creation, an English nobleman of the Tudor period.
  • A. George
    George is the given name of George Douglas, 10th Earl of Morton, a Scottish nobleman and peer.
  • B. George
    George is the given name of George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
  • C. George
    George is the given name of George Montagu-Dunk, 2nd Earl of Halifax, an influential 18th-century British statesman and colonial administrator.
  • D. George
    George is the given name of George North, 3rd Earl of Guilford, a British peer from the late 18th and early 19th centuries.
  • E. George
    George is the given name of George Townshend, 2nd Marquess Townshend, a British nobleman and politician of the late 18th and early 19th centuries.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076ad4ec81908d36f541fca08d72 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed32a1e3c81909ca2bd431a01e9cf completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed3f5e31081908958efacf486e3a6 completed May 9, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_69fed51c1b0c81908bb195af7a8a7cef completed May 9, 2026, 6:33 a.m.
Created at: April 10, 2026, 3:11 a.m.