Triple

T10973772
Position Surface form Disambiguated ID Type / Status
Subject Peter Agre E259315 entity
Predicate familyName P18 FINISHED
Object Agre
Agre is the surname of Peter Agre, an American physician and Nobel Prize–winning chemist known for discovering aquaporins, the water channels in cell membranes.
E896845 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: Agre | Statement: [Peter Agre, familyName, Agre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agre
Context triple: [Peter Agre, familyName, Agre]
  • A. Agarfa
    Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
  • B. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • C. Ascó
    Ascó is a municipality in Catalonia, Spain, best known for hosting one of the country’s major nuclear power plants along the Ebro River.
  • D. Mesta
    Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
  • E. Algete
    Algete is a municipality in the Community of Madrid, Spain, located to the north of the capital and characterized by its mix of residential areas and surrounding agricultural land.
  • 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: Agre
Triple: [Peter Agre, familyName, Agre]
Generated description
Agre is the surname of Peter Agre, an American physician and Nobel Prize–winning chemist known for discovering aquaporins, the water channels in cell membranes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agre
Target entity description: Agre is the surname of Peter Agre, an American physician and Nobel Prize–winning chemist known for discovering aquaporins, the water channels in cell membranes.
  • A. Agarfa
    Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
  • B. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • C. Ascó
    Ascó is a municipality in Catalonia, Spain, best known for hosting one of the country’s major nuclear power plants along the Ebro River.
  • D. Mesta
    Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
  • E. Algete
    Algete is a municipality in the Community of Madrid, Spain, located to the north of the capital and characterized by its mix of residential areas and surrounding agricultural land.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff211ae88190a40380cd25a61812 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e32634397481908284c04448274b25 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.