Triple

T3407958
Position Surface form Disambiguated ID Type / Status
Subject Taylor Lautner E71820 entity
Predicate familyName P18 FINISHED
Object 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.
 E355308 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: Lautner | Statement: [Taylor Lautner, familyName, Lautner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lautner
Context triple: [Taylor Lautner, familyName, Lautner]
  • A. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • 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. Relander
    Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
  • D. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • E. Taubman
    Taubman is a surname most prominently associated with A. Alfred Taubman, the influential American real estate developer and philanthropist known for pioneering the modern shopping mall.
  • 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: Lautner
Triple: [Taylor Lautner, familyName, Lautner]
Generated description
Lautner is a surname most prominently associated with American actor Taylor Lautner, known for his role as Jacob Black in the "Twilight" film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lautner
Target entity description: Lautner is a surname most prominently associated with American actor Taylor Lautner, known for his role as Jacob Black in the "Twilight" film series.
  • A. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • 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. Relander
    Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
  • D. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • E. Taubman
    Taubman is a surname most prominently associated with A. Alfred Taubman, the influential American real estate developer and philanthropist known for pioneering the modern shopping mall.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdaf06c8190a8102a4e3c728066 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.