Triple

T6966638
Position Surface form Disambiguated ID Type / Status
Subject BernNadette Stanis E161505 entity
Predicate familyName P18 FINISHED
Object Stanis
Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
 E631720 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: Stanis | Statement: [BernNadette Stanis, familyName, Stanis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stanis
Context triple: [BernNadette Stanis, familyName, Stanis]
  • A. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • B. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • C. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • D. Stiris
    Stiris was an ancient Greek city in the region of Phocis, known as one of its notable urban centers in classical antiquity.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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: Stanis
Triple: [BernNadette Stanis, familyName, Stanis]
Generated description
Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stanis
Target entity description: Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
  • A. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • B. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • C. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • D. Stiris
    Stiris was an ancient Greek city in the region of Phocis, known as one of its notable urban centers in classical antiquity.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
NEDg Description generation batch_69c75afc74a88190b87284b9a07e8abb completed March 28, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69c75ba456ec81908bd3ab9ade1954d4 completed March 28, 2026, 4:40 a.m.
Created at: March 27, 2026, 2:30 p.m.