Triple

T22445115
Position Surface form Disambiguated ID Type / Status
Subject Peter Landin E554844 entity
Predicate familyName P18 FINISHED
Object Landin
Landin is a surname most notably associated with Peter Landin, a pioneering British computer scientist in the field of programming language theory.
E1537628 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: Landin | Statement: [Peter Landin, familyName, Landin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landin
Context triple: [Peter Landin, familyName, Landin]
  • A. Landy
    Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
  • B. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • C. Saleen
    Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
  • D. Saleen
    Saleen is a small village in County Cork, Ireland, situated in the East Cork region.
  • E. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • 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: Landin
Triple: [Peter Landin, familyName, Landin]
Generated description
Landin is a surname most notably associated with Peter Landin, a pioneering British computer scientist in the field of programming language theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landin
Target entity description: Landin is a surname most notably associated with Peter Landin, a pioneering British computer scientist in the field of programming language theory.
  • A. Landy
    Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
  • B. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • C. Saleen
    Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
  • D. Saleen
    Saleen is a small village in County Cork, Ireland, situated in the East Cork region.
  • E. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b46e8ac8190bfa8c611ffcba822 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c74318081909fe8f6b794b6ce83 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d6d5b0c8190a96b3d556ccf5aee completed May 18, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0e2082a88190b0c203cb933276dd completed May 18, 2026, 1:03 p.m.
Created at: April 16, 2026, 8:47 p.m.