Triple

T22935140
Position Surface form Disambiguated ID Type / Status
Subject Marine Ecoregions of the World E569558 entity
Predicate hasAuthor P4244 FINISHED
Object Nick Davidson
Nick Davidson is an environmental scientist and author known for his contributions to global marine biogeographic classification, including work on the Marine Ecoregions of the World.
E1562432 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: Nick Davidson | Statement: [Marine Ecoregions of the World, hasAuthor, Nick Davidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Davidson
Context triple: [Marine Ecoregions of the World, hasAuthor, Nick Davidson]
  • A. Will Knaak
    Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
  • B. Glen Vowell
    Glen Vowell is a small Indigenous community in British Columbia, Canada, that serves as one of the village sites of the Gitxsan people.
  • C. Jason Dale
    Jason Dale is a film editor best known for his work on the comedy sequel "Kindergarten Cop 2."
  • D. Nick Morris
    Nick Morris is a British film and television director best known for his work on concert films, music videos, and live performance recordings.
  • E. Nick Morris
    Nick Morris is a film producer known for his work on the movie "Birthday Girl."
  • 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: Nick Davidson
Triple: [Marine Ecoregions of the World, hasAuthor, Nick Davidson]
Generated description
Nick Davidson is an environmental scientist and author known for his contributions to global marine biogeographic classification, including work on the Marine Ecoregions of the World.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nick Davidson
Target entity description: Nick Davidson is an environmental scientist and author known for his contributions to global marine biogeographic classification, including work on the Marine Ecoregions of the World.
  • A. Will Knaak
    Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
  • B. Glen Vowell
    Glen Vowell is a small Indigenous community in British Columbia, Canada, that serves as one of the village sites of the Gitxsan people.
  • C. Jason Dale
    Jason Dale is a film editor best known for his work on the comedy sequel "Kindergarten Cop 2."
  • D. Nick Morris
    Nick Morris is a British film and television director best known for his work on concert films, music videos, and live performance recordings.
  • E. Nick Morris
    Nick Morris is a film producer known for his work on the movie "Birthday Girl."
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181350c7881908a72dc7a30e1aaff completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24ea8bc8190bb7cb6e9475d6641 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc3dea31c8190ab517e43c9061eec completed May 19, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.