Triple

T13658799
Position Surface form Disambiguated ID Type / Status
Subject Bariba E326928 entity
Predicate titleOfRuler P10605 FINISHED
Object Sarkin Nikki
Sarkin Nikki is the traditional monarch of Nikki, a historic Bariba kingdom in present-day Benin.
 E1052301 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: Sarkin Nikki | Statement: [Bariba, titleOfRuler, Sarkin Nikki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarkin Nikki
Context triple: [Bariba, titleOfRuler, Sarkin Nikki]
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • D. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • E. Nikki
    Nikki is the main character of the 1994 platform video game "Pandemonium!", known for her acrobatic abilities and whimsical, magical adventures.
  • 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: Sarkin Nikki
Triple: [Bariba, titleOfRuler, Sarkin Nikki]
Generated description
Sarkin Nikki is the traditional monarch of Nikki, a historic Bariba kingdom in present-day Benin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarkin Nikki
Target entity description: Sarkin Nikki is the traditional monarch of Nikki, a historic Bariba kingdom in present-day Benin.
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • D. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • E. Nikki
    Nikki is the main character of the 1994 platform video game "Pandemonium!", known for her acrobatic abilities and whimsical, magical adventures.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.