Triple

T24974182
Position Surface form Disambiguated ID Type / Status
Subject Duchess of Albemarle E624971 entity
Predicate spousalTitleOf P77742 FINISHED
Object Duke of Albemarle
The Duke of Albemarle is a historic English noble title in the Peerage of England, most famously held by George Monck, the general who played a key role in the Restoration of King Charles II.
 E125767 NE FINISHED

How this triple was built (3 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: Duke of Albemarle | Statement: [Duchess of Albemarle, spousalTitleOf, Duke of Albemarle]
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: Duke of Albemarle
Triple: [Duchess of Albemarle, spousalTitleOf, Duke of Albemarle]
Generated description
The Duke of Albemarle is a historic English noble title in the Peerage of England, most famously held by George Monck, the general who played a key role in the Restoration of King Charles II.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: spousalTitleOf
Context triple: [Duchess of Albemarle, spousalTitleOf, Duke of Albemarle]
  • A. spouseNameWithTitle
    Indicates that a person’s spouse is identified by name together with an associated honorific or title.
  • B. isSpouseOfTitle
    Indicates that one entity holds a spousal relationship specifically associated with a titled or honorific status of another entity.
  • C. hasSpouseTitle
    Indicates that a person’s spouse holds a particular title or honorific designation.
  • D. titleFromSpouse chosen
    Indicates that an entity holds a title or honorific that is derived from or acquired through their spouse.
  • E. spouseTitleOfSecondHusband
    Indicates that the object is the formal title or designation held by a person’s second husband.
  • F. None of above.

Provenance (6 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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075b5c8ec8190b6f79a28402f0b38 completed May 22, 2026, 3:26 p.m.
NEDg Description generation batch_6a1076991b208190945d037fd9eef5f2 completed May 22, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a1077d01fa08190b5439eba879538ef completed May 22, 2026, 3:35 p.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:01 a.m.