Triple

T5254729
Position Surface form Disambiguated ID Type / Status
Subject Nyota Uhura E118671 entity
Predicate givenName P17 FINISHED
Object Nyota
Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
 E506675 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: Nyota | Statement: [Nyota Uhura, givenName, Nyota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyota
Context triple: [Nyota Uhura, givenName, Nyota]
  • A. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • C. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • D. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • E. Merak
    Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
  • 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: Nyota
Triple: [Nyota Uhura, givenName, Nyota]
Generated description
Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyota
Target entity description: Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
  • A. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • C. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • D. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • E. Merak
    Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.