Triple

T21823642
Position Surface form Disambiguated ID Type / Status
Subject LA to Vegas E538791 entity
Predicate character P662 FINISHED
Object Artem
Artem is a quirky, soft-spoken Russian flight attendant and aspiring magician from the sitcom "LA to Vegas," known for his deadpan humor and oddball charm.
 E1504154 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: Artem | Statement: [LA to Vegas, character, Artem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artem
Context triple: [LA to Vegas, character, Artem]
  • A. Artemios
    Artemios is the given first name of Greek singer Demis Roussos, an internationally renowned pop and rock vocalist.
  • B. Artemonas
    Artemonas is a traditional village on the Greek island of Sifnos, known for its neoclassical architecture, scenic views, and role as one of the island’s main settlements.
  • C. Artemidoro
    Artemidoro is a fictional character appearing in the opera "La grotta di Trofonio" by Antonio Salieri.
  • D. Arremon
    Arremon is a genus of Neotropical sparrow-like birds known for their distinctive head patterns and association with forest undergrowth.
  • E. Timoteus
    Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
  • 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: Artem
Triple: [LA to Vegas, character, Artem]
Generated description
Artem is a quirky, soft-spoken Russian flight attendant and aspiring magician from the sitcom "LA to Vegas," known for his deadpan humor and oddball charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artem
Target entity description: Artem is a quirky, soft-spoken Russian flight attendant and aspiring magician from the sitcom "LA to Vegas," known for his deadpan humor and oddball charm.
  • A. Artemios
    Artemios is the given first name of Greek singer Demis Roussos, an internationally renowned pop and rock vocalist.
  • B. Artemonas
    Artemonas is a traditional village on the Greek island of Sifnos, known for its neoclassical architecture, scenic views, and role as one of the island’s main settlements.
  • C. Artemidoro
    Artemidoro is a fictional character appearing in the opera "La grotta di Trofonio" by Antonio Salieri.
  • D. Arremon
    Arremon is a genus of Neotropical sparrow-like birds known for their distinctive head patterns and association with forest undergrowth.
  • E. Timoteus
    Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912f69f08190b06c718aa35c2bf0 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e300e48190bf242b2929a5445b completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46c771348190aa1fa8b3b8fcac3f completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47bf44c881908504b2537649adf6 completed May 17, 2026, 10:57 p.m.
Created at: April 16, 2026, 6:54 p.m.