Triple

T14300651
Position Surface form Disambiguated ID Type / Status
Subject Peter Purves E354552 entity
Predicate familyName P18 FINISHED
Object Purves
Purves is a surname of English and Scottish origin borne by various notable individuals in fields such as entertainment, science, and public life.
E1092074 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: Purves | Statement: [Peter Purves, familyName, Purves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purves
Context triple: [Peter Purves, familyName, Purves]
  • A. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • B. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • C. Prochiantz
    Prochiantz is the surname of Alain Prochiantz, a prominent French neuroscientist known for his work on brain development and homeoprotein signaling.
  • D. Bransford
    Bransford is a small village in Worcestershire, England, situated near the River Teme and known for its rural setting and local golf and spa facilities.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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: Purves
Triple: [Peter Purves, familyName, Purves]
Generated description
Purves is a surname of English and Scottish origin borne by various notable individuals in fields such as entertainment, science, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Purves
Target entity description: Purves is a surname of English and Scottish origin borne by various notable individuals in fields such as entertainment, science, and public life.
  • A. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • B. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • C. Prochiantz
    Prochiantz is the surname of Alain Prochiantz, a prominent French neuroscientist known for his work on brain development and homeoprotein signaling.
  • D. Bransford
    Bransford is a small village in Worcestershire, England, situated near the River Teme and known for its rural setting and local golf and spa facilities.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2697648190beade47df424a9e5 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd41335b308190b1d49b214d5206a1 completed May 8, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd41fcd8b08190802e54e1c18b58e2 completed May 8, 2026, 1:53 a.m.
Created at: April 10, 2026, 1:11 a.m.