Triple

T11723403
Position Surface form Disambiguated ID Type / Status
Subject Howard Lasnik E278696 entity
Predicate familyName P18 FINISHED
Object Lasnik
Lasnik is a surname most notably associated with Howard Lasnik, an influential American linguist known for his work in generative grammar.
 E942932 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: Lasnik | Statement: [Howard Lasnik, familyName, Lasnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasnik
Context triple: [Howard Lasnik, familyName, Lasnik]
  • A. Solkan
    Solkan is a settlement in western Slovenia, known for its historic stone railway bridge over the Soča River and its proximity to the town of Nova Gorica.
  • B. Svilajnac
    Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
  • C. Lakinsk
    Lakinsk is a small industrial town in western Russia, located in Vladimir Oblast east of Moscow.
  • D. Rogožarski
    Rogožarski was a Yugoslav aircraft manufacturer known for producing military and trainer aircraft in the interwar and World War II periods.
  • E. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • 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: Lasnik
Triple: [Howard Lasnik, familyName, Lasnik]
Generated description
Lasnik is a surname most notably associated with Howard Lasnik, an influential American linguist known for his work in generative grammar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasnik
Target entity description: Lasnik is a surname most notably associated with Howard Lasnik, an influential American linguist known for his work in generative grammar.
  • A. Solkan
    Solkan is a settlement in western Slovenia, known for its historic stone railway bridge over the Soča River and its proximity to the town of Nova Gorica.
  • B. Svilajnac
    Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
  • C. Lakinsk
    Lakinsk is a small industrial town in western Russia, located in Vladimir Oblast east of Moscow.
  • D. Rogožarski
    Rogožarski was a Yugoslav aircraft manufacturer known for producing military and trainer aircraft in the interwar and World War II periods.
  • E. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:41 p.m.