Triple

T22318959
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Halprin E551728 entity
Predicate givenName P17 FINISHED
Object Lawrence
Lawrence is a masculine given name of English origin, historically derived from the Latin name Laurentius and commonly borne by notable figures in arts, politics, and science.
E180561 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: Lawrence | Statement: [Lawrence Halprin, givenName, Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence
Context triple: [Lawrence Halprin, givenName, Lawrence]
  • A. Lawrence
    Lawrence is a city located within Marion County in the U.S. state of Indiana.
  • B. Lawrence
    Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • C. Lawrence
    Lawrence is a small rural village in the Clarence Valley region of New South Wales, Australia, known for its historic charm and riverside setting on the Clarence River.
  • D. Lawrence
    Lawrence is an American soul-pop band known for its energetic live performances, tight musicianship, and catchy, horn-driven songs.
  • E. Lawrence
    Lawrence is a common English surname of Norman origin, derived from the given name Laurence and historically associated with various notable families and individuals.
  • 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: Lawrence
Triple: [Lawrence Halprin, givenName, Lawrence]
Generated description
Lawrence is a masculine given name of English origin, historically derived from the Latin name Laurentius and commonly borne by notable figures in arts, politics, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lawrence
Target entity description: Lawrence is a masculine given name of English origin, historically derived from the Latin name Laurentius and commonly borne by notable figures in arts, politics, and science.
  • A. Lawrence chosen
    Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • B. Lawrence
    Lawrence is a common English surname of Norman origin, derived from the given name Laurence and historically associated with various notable families and individuals.
  • C. Lawrence
    Lawrence is the birth name of KRS-One, the influential American rapper and pioneer of conscious hip hop.
  • D. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • E. Lawrence
    Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • F. None of above.

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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0accab79c08190896987867866ca76 completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd37d53c819084b82cfe0649a262 completed May 18, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace029b74819086a545100e8a8f8a completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:42 p.m.