Triple

T18879245
Position Surface form Disambiguated ID Type / Status
Subject Caity Lotz E461777 entity
Predicate familyName P18 FINISHED
Object Lotz
Lotz is a surname most notably associated with American actress, dancer, and director Caity Lotz.
E1347247 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: Lotz | Statement: [Caity Lotz, familyName, Lotz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotz
Context triple: [Caity Lotz, familyName, Lotz]
  • A. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • B. Las Bielański
    Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
  • C. Lozowick
    Lozowick is the surname of Louis R. Lozowick, a notable Russian-American painter and printmaker associated with Precisionism.
  • D. Horsztyński
    "Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
  • E. Lewin Brzeski
    Lewin Brzeski is a small town in southwestern Poland known for its location in the historical region of Silesia.
  • 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: Lotz
Triple: [Caity Lotz, familyName, Lotz]
Generated description
Lotz is a surname most notably associated with American actress, dancer, and director Caity Lotz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lotz
Target entity description: Lotz is a surname most notably associated with American actress, dancer, and director Caity Lotz.
  • A. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • B. Las Bielański
    Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
  • C. Lozowick
    Lozowick is the surname of Louis R. Lozowick, a notable Russian-American painter and printmaker associated with Precisionism.
  • D. Horsztyński
    "Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
  • E. Lewin Brzeski
    Lewin Brzeski is a small town in southwestern Poland known for its location in the historical region of Silesia.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d06ef481908bba297d7a1fd011 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c37ed081908e70d965dbea09c8 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a057697121481909dc6f19aa9549262 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a057761268481908589088ab2f5c2e7 completed May 14, 2026, 7:18 a.m.
Created at: April 10, 2026, 11:57 a.m.