Triple

T6072114
Position Surface form Disambiguated ID Type / Status
Subject Tim Laudner E135306 entity
Predicate familyName P18 FINISHED
Object Laudner
Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
 E565862 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: Laudner | Statement: [Tim Laudner, familyName, Laudner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laudner
Context triple: [Tim Laudner, familyName, Laudner]
  • A. Lautner
    Lautner is a surname most prominently associated with American actor Taylor Lautner, known for his role as Jacob Black in the "Twilight" film series.
  • B. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • C. Laughlin
    Laughlin is a small resort town on the Colorado River in southern Nevada, known for its casinos, riverfront recreation, and proximity to the Arizona border.
  • D. Relander
    Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
  • E. Lennard
    Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
  • 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: Laudner
Triple: [Tim Laudner, familyName, Laudner]
Generated description
Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laudner
Target entity description: Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
  • A. Lautner
    Lautner is a surname most prominently associated with American actor Taylor Lautner, known for his role as Jacob Black in the "Twilight" film series.
  • B. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • C. Laughlin
    Laughlin is a small resort town on the Colorado River in southern Nevada, known for its casinos, riverfront recreation, and proximity to the Arizona border.
  • D. Relander
    Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
  • E. Lennard
    Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3a37fc81909bbc1cdeec3205cf completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11ed987e08190bf7065d04d9c3a0c completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.