Triple

T16204818
Position Surface form Disambiguated ID Type / Status
Subject Erin Moran E393297 entity
Predicate appearedIn P795 FINISHED
Object Daktari
Daktari is a 1960s American television drama series set in East Africa that follows a veterinarian and his team as they care for wild animals at a fictional wildlife preserve.
 E1198846 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: Daktari | Statement: [Erin Moran, appearedIn, Daktari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daktari
Context triple: [Erin Moran, appearedIn, Daktari]
  • A. Docter
    Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
  • B. Doctores
    Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
  • C. La Dotta
    La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
  • D. Doctor Doctor
    Doctor Doctor is an Australian television drama series centered on a charismatic but troubled heart surgeon who is forced to return to practice in his rural hometown.
  • E. Dotrice
    Dotrice is a surname most notably associated with British actor Roy Dotrice and his family of performers.
  • 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: Daktari
Triple: [Erin Moran, appearedIn, Daktari]
Generated description
Daktari is a 1960s American television drama series set in East Africa that follows a veterinarian and his team as they care for wild animals at a fictional wildlife preserve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daktari
Target entity description: Daktari is a 1960s American television drama series set in East Africa that follows a veterinarian and his team as they care for wild animals at a fictional wildlife preserve.
  • A. Docter
    Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
  • B. Doctores
    Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
  • C. La Dotta
    La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
  • D. Doctor Doctor
    Doctor Doctor is an Australian television drama series centered on a charismatic but troubled heart surgeon who is forced to return to practice in his rural hometown.
  • E. Dotrice
    Dotrice is a surname most notably associated with British actor Roy Dotrice and his family of performers.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff14b0988190bb4128b2e02aee32 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:03 a.m.