Triple

T19829634
Position Surface form Disambiguated ID Type / Status
Subject Larenz Tate E476420 entity
Predicate givenName P17 FINISHED
Object Larenz
Larenz is a masculine given name most notably associated with American actor Larenz Tate.
 E1397250 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: Larenz | Statement: [Larenz Tate, givenName, Larenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larenz
Context triple: [Larenz Tate, givenName, Larenz]
  • A. Lester
    Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
  • B. Lester
    Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • C. Lester
    Lester is the given first name of American actor, musician, and comedian Smiley Burnette, known for his roles in Western films and as Gene Autry’s sidekick.
  • D. Lester
    Lester is a masculine given name of English origin, famously borne by guitarist and inventor Lester William Polsfuss, better known as Les Paul.
  • E. Lester
    Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
  • 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: Larenz
Triple: [Larenz Tate, givenName, Larenz]
Generated description
Larenz is a masculine given name most notably associated with American actor Larenz Tate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larenz
Target entity description: Larenz is a masculine given name most notably associated with American actor Larenz Tate.
  • A. Lester
    Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
  • B. Lester
    Lester is a masculine given name of English origin, famously borne by guitarist and inventor Lester William Polsfuss, better known as Les Paul.
  • C. Lester
    Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • D. Lester
    Lester is the given first name of American actor, musician, and comedian Smiley Burnette, known for his roles in Western films and as Gene Autry’s sidekick.
  • E. Lester
    Lester is the central character in the 2016 puzzle-platform video game "Mekazoo" (also known as "Makers" in some regions), around whom the game's story and gameplay revolve.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd5e2e08190a4a416ce2a3e7a36 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07d01d78c481908faff4cb29e1494e completed May 16, 2026, 2:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0d94c3881909ca241d22938637a completed May 16, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:50 p.m.