Triple

T9967966
Position Surface form Disambiguated ID Type / Status
Subject Zazie Beetz E195731 entity
Predicate familyName P18 FINISHED
Object Beetz
Beetz is a German surname most notably borne by actress Zazie Beetz, known for her roles in "Atlanta" and "Joker."
E832044 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: Beetz | Statement: [Zazie Beetz, familyName, Beetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beetz
Context triple: [Zazie Beetz, familyName, Beetz]
  • A. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • B. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • C. Butz
    Butz is a surname most notably associated with Earl Butz, a controversial U.S. Secretary of Agriculture in the 1970s.
  • D. Beaty
    Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • 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: Beetz
Triple: [Zazie Beetz, familyName, Beetz]
Generated description
Beetz is a German surname most notably borne by actress Zazie Beetz, known for her roles in "Atlanta" and "Joker."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beetz
Target entity description: Beetz is a German surname most notably borne by actress Zazie Beetz, known for her roles in "Atlanta" and "Joker."
  • A. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • B. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • C. Butz
    Butz is a surname most notably associated with Earl Butz, a controversial U.S. Secretary of Agriculture in the 1970s.
  • D. Beaty
    Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23db701b881909bb986a32df4349b completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23f35049c8190a71a88f5dd686596 completed April 5, 2026, 10:53 a.m.
NED2 Entity disambiguation (via description) batch_69d24097d4008190b7a9e7638cd9a972 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.