Triple

T10195502
Position Surface form Disambiguated ID Type / Status
Subject Tomasino E238151 entity
Predicate relatedTerm P37 FINISHED
Object Thomasian
Thomasian is a term commonly used to refer to a student or alumnus of the University of Santo Tomas in the Philippines.
 E847661 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: Thomasian | Statement: [Tomasino, relatedTerm, Thomasian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomasian
Context triple: [Tomasino, relatedTerm, Thomasian]
  • A. Kiserian
    Kiserian is a rapidly growing town in Kenya’s Kajiado County, situated just southwest of Nairobi and known as a residential and trading hub for the surrounding Maasai pastoral communities.
  • B. Tomainian
    Tomainian is the fictional totalitarian nation in Charlie Chaplin’s film "The Great Dictator," serving as a satirical stand-in for Nazi Germany.
  • C. Cynthian
    Cynthian is the former name of the city now known as Dallas in Polk County, Oregon.
  • D. Orthosie
    Orthosie is a small, irregular outer moon of Jupiter belonging to one of the planet’s distant retrograde satellite groups.
  • E. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • 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: Thomasian
Triple: [Tomasino, relatedTerm, Thomasian]
Generated description
Thomasian is a term commonly used to refer to a student or alumnus of the University of Santo Tomas in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomasian
Target entity description: Thomasian is a term commonly used to refer to a student or alumnus of the University of Santo Tomas in the Philippines.
  • A. Kiserian
    Kiserian is a rapidly growing town in Kenya’s Kajiado County, situated just southwest of Nairobi and known as a residential and trading hub for the surrounding Maasai pastoral communities.
  • B. Tomainian
    Tomainian is the fictional totalitarian nation in Charlie Chaplin’s film "The Great Dictator," serving as a satirical stand-in for Nazi Germany.
  • C. Cynthian
    Cynthian is the former name of the city now known as Dallas in Polk County, Oregon.
  • D. Orthosie
    Orthosie is a small, irregular outer moon of Jupiter belonging to one of the planet’s distant retrograde satellite groups.
  • E. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc9360081908dd73e36022a3dfd completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317dbfb7c819087aafc7161b14707 completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d319670c6c8190b77257340ec8e6d4 completed April 6, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69d31d371e948190ac6d31daad2afbdf completed April 6, 2026, 2:40 a.m.
Created at: March 30, 2026, 9:13 p.m.