Triple

T1295128
Position Surface form Disambiguated ID Type / Status
Subject William Smith Medal E27636 entity
Predicate notableRecipient P108 FINISHED
Object Martin Bott
Martin Bott was a prominent British geologist known for his influential work in geophysics and the structure of the Earth's crust.
 E147404 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: Martin Bott | Statement: [William Smith Medal, notableRecipient, Martin Bott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martin Bott
Context triple: [William Smith Medal, notableRecipient, Martin Bott]
  • A. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • B. Thomas Borsch
    Thomas Borsch is a German botanist and academic known for his leadership of the Berlin Botanical Garden and his research on plant systematics and biodiversity.
  • C. Richard Saller
    Richard Saller is an American classical historian and academic administrator who serves as president of Stanford University.
  • D. Bernie Brewer
    Bernie Brewer is the cheerful, mustachioed mascot of the Milwaukee Brewers known for his energetic celebrations at the team’s home games.
  • E. Martin Benrath
    Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
  • 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: Martin Bott
Triple: [William Smith Medal, notableRecipient, Martin Bott]
Generated description
Martin Bott was a prominent British geologist known for his influential work in geophysics and the structure of the Earth's crust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martin Bott
Target entity description: Martin Bott was a prominent British geologist known for his influential work in geophysics and the structure of the Earth's crust.
  • A. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • B. Thomas Borsch
    Thomas Borsch is a German botanist and academic known for his leadership of the Berlin Botanical Garden and his research on plant systematics and biodiversity.
  • C. Richard Saller
    Richard Saller is an American classical historian and academic administrator who serves as president of Stanford University.
  • D. Bernie Brewer
    Bernie Brewer is the cheerful, mustachioed mascot of the Milwaukee Brewers known for his energetic celebrations at the team’s home games.
  • E. Martin Benrath
    Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f4031481908f5e3a53d8a72929 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc1e7948190a1ecd240c751d258 completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad6df8f08190bea3b43f15ef3a09 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadd171b08190a5454e75babd39a3 completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:51 p.m.