Triple

T142513
Position Surface form Disambiguated ID Type / Status
Subject House of Lords E2883 entity
Predicate hasMemberTitle P1648 FINISHED
Object Baroness
A Baroness is a female member of the British nobility, often holding a life or hereditary peerage that grants her a seat in the House of Lords.
 E17267 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: Baroness | Statement: [House of Lords, hasMemberTitle, Baroness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baroness
Context triple: [House of Lords, hasMemberTitle, Baroness]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Her Majesty
    Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
  • C. Countess of Northesk
    The Countess of Northesk is the noble title traditionally held by the wife or female counterpart of the Earl of Northesk in the Scottish peerage.
  • D. Milady de Winter
    Milady de Winter is a cunning and dangerous spy and antagonist in Alexandre Dumas' novel "The Three Musketeers," known for her beauty, deceit, and ruthless ambition.
  • E. Lord Speaker
    The Lord Speaker is the presiding officer and representative of the United Kingdom’s House of Lords, responsible for maintaining order and overseeing its proceedings.
  • 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: Baroness
Triple: [House of Lords, hasMemberTitle, Baroness]
Generated description
A Baroness is a female member of the British nobility, often holding a life or hereditary peerage that grants her a seat in the House of Lords.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baroness
Target entity description: A Baroness is a female member of the British nobility, often holding a life or hereditary peerage that grants her a seat in the House of Lords.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Her Majesty
    Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
  • C. Countess of Northesk
    The Countess of Northesk is the noble title traditionally held by the wife or female counterpart of the Earl of Northesk in the Scottish peerage.
  • D. Milady de Winter
    Milady de Winter is a cunning and dangerous spy and antagonist in Alexandre Dumas' novel "The Three Musketeers," known for her beauty, deceit, and ruthless ambition.
  • E. Lord Speaker
    The Lord Speaker is the presiding officer and representative of the United Kingdom’s House of Lords, responsible for maintaining order and overseeing its proceedings.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf691a848190a4f6e40d9aea2168 completed Feb. 28, 2026, 10:11 a.m.
NEDg Description generation batch_69a2c1179c6c8190a118c6f4ef8d555e completed Feb. 28, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2c1c769f08190b0a8b372e13fc5de completed Feb. 28, 2026, 10:21 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.