Triple

T17346439
Position Surface form Disambiguated ID Type / Status
Subject Bentham Professor of Jurisprudence E421698 entity
Predicate hasHeldBy P44019 FINISHED
Object Nicola Lacey — NE ONDG

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: Nicola Lacey | Statement: [Bentham Professor of Jurisprudence, hasHeldBy, Nicola Lacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicola Lacey
Context triple: [Bentham Professor of Jurisprudence, hasHeldBy, Nicola Lacey]
  • A. Elizabeth Jeffreys
    Elizabeth Jeffreys was an 18th-century British noblewoman best known as the wife of Charles Pratt, 1st Earl Camden, a prominent jurist and politician.
  • B. Lynda La Plante
    Lynda La Plante is a British novelist, screenwriter, and former actress best known for her gritty crime dramas and influential work in television police procedurals.
  • C. Louise Maitland
    Louise Maitland is a person notable enough to be recognized as a prominent bearer of the surname Maitland.
  • D. Moira Harris
    Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
  • E. Harriet Tallichet
    Harriet Tallichet is a member of the Tallichet family, related to American actress Margaret Tallichet.
  • 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: Nicola Lacey
Triple: [Bentham Professor of Jurisprudence, hasHeldBy, Nicola Lacey]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicola Lacey
Target entity description: Nicola Lacey is a prominent British legal scholar and criminologist known for her influential work on criminal law, legal theory, and the history of punishment.
  • A. Elizabeth Jeffreys
    Elizabeth Jeffreys was an 18th-century British noblewoman best known as the wife of Charles Pratt, 1st Earl Camden, a prominent jurist and politician.
  • B. Lynda La Plante
    Lynda La Plante is a British novelist, screenwriter, and former actress best known for her gritty crime dramas and influential work in television police procedurals.
  • C. Louise Maitland
    Louise Maitland is a person notable enough to be recognized as a prominent bearer of the surname Maitland.
  • D. Moira Harris
    Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
  • E. Harriet Tallichet
    Harriet Tallichet is a member of the Tallichet family, related to American actress Margaret Tallichet.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2923b48190a5d1abd3f535c59f completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.