Triple

T5113022
Position Surface form Disambiguated ID Type / Status
Subject Big Cat Diary E115260 entity
Predicate featuresPresenter P39789 FINISHED
Object Jackson Looseyia
Jackson Looseyia is a Kenyan Maasai wildlife guide and television presenter best known for his work on the BBC nature series Big Cat Diary.
 E493527 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: Jackson Looseyia | Statement: [Big Cat Diary, featuresPresenter, Jackson Looseyia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jackson Looseyia
Context triple: [Big Cat Diary, featuresPresenter, Jackson Looseyia]
  • A. Tom Dyas
    Tom Dyas is a Canadian municipal politician serving as the mayor of Kelowna, British Columbia.
  • B. Andrew Sarlo
    Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
  • C. Jesse Woods
    Jesse Woods is an American singer-songwriter known for his atmospheric, folk-influenced indie music.
  • D. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • E. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • 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: Jackson Looseyia
Triple: [Big Cat Diary, featuresPresenter, Jackson Looseyia]
Generated description
Jackson Looseyia is a Kenyan Maasai wildlife guide and television presenter best known for his work on the BBC nature series Big Cat Diary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jackson Looseyia
Target entity description: Jackson Looseyia is a Kenyan Maasai wildlife guide and television presenter best known for his work on the BBC nature series Big Cat Diary.
  • A. Tom Dyas
    Tom Dyas is a Canadian municipal politician serving as the mayor of Kelowna, British Columbia.
  • B. Andrew Sarlo
    Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
  • C. Jesse Woods
    Jesse Woods is an American singer-songwriter known for his atmospheric, folk-influenced indie music.
  • D. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • E. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77ccb19c8190844c628ff7cfcca2 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
NEDg Description generation batch_69bebb50aef48190b625278340a8c310 completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc0b38e88190830eb74292e00e93 completed March 21, 2026, 3:40 p.m.
Created at: March 20, 2026, 1:41 p.m.